How AI Learns to Talk: Unpacking GPT-4 in Two Minutes

Dive into the fascinating world of artificial intelligence with our quick two-minute breakdown on how AI like GPT-4 learns to communicate. Understand the technology behind these advanced language models, explore their applications, and consider the ethical questions they raise. Whether you're a tech enthusiast or a curious newbie, this video will provide you with a clear and concise understanding of AI's capabilities and challenges. Don’t forget to like, subscribe, and hit the bell icon for more insights into cutting-edge technology in just two minutes!

AI Just CHANGED The Way I Journal Daily

Don't forget to join our No-Code community for support, insights, and more resources. 👉 Join here: https://webtotheflow.com/community 🧠 What You'll learn: Step-by-Step Tutorial: I'll guide you through setting up iOS Shortcuts and Google Sheets to monitor your mental and emotional states effortlessly. We will use ChatGPT to analyze our voice notes + capture all the data in Google Sheets. Why This Matters: I personally struggle with ups and downs in my emotional state all the time. Becoming aware of those helps me to see them for what they are & actively decide on how to cope with them. I hope it will help you too. Template Access: Get your hands on my free templates to easily replicate this system for yourself. 🔔 Stay Updated: Subscribe and hit the bell for more content that leverages technology to enhance your personal and professional growth. Videos you might enjoy too: https://youtu.be/t5SieIcMMjo https://youtu.be/9c0FBkowyrE #EmotionalIntelligence #ProductivityHacks #MentalHealth #NoCode #personaldevelopment Stuff for the Algo: Tracking Myself to Success With AI How I Measure My Brain With ChatGPT Measuring My Brain With ChatGPT Using My Voice AI Just Changed The Way I Journal Daily AI Is Measuring How I Feel in Life ChatGPT Is Now Tracking My Brain

Question MCQS Generator Using Machine learning NLP | AI-powered MCQ Generation for Educators Part 2:

#machinelearning #datascience #python Explore the future of educational assessment with our project! Discover how machine learning and NLP techniques are revolutionizing the process of generating multiple-choice questions (MCQs). Watch as we demonstrate the seamless integration of technology to streamline assessment creation, saving educators valuable time while ensuring the quality and relevance of questions. Source Code: https://github.com/611noorsaeed/Question-MCQS-Generator-Using-Machine-learning-NLP/blob/main/Question%20MCQs%20Generator%20Tutorials.ipynb ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

Historic Introduction to Machine Learning and Artificial Intelligence

AUB Course: Artificial Intelligence for the Disciplines This video provides an historic introduction to the Machine Learning and Artificial Intelligence Course for the Disciplines.

Episode 4: Prompting for Precision: Enhancing Detail in AI Outputs #promptengineering #aiinsights

In this episode, let's learn how to craft prompts that elicit detailed and structured responses from AI, including the importance of granularity and other parameters to extract more meaningful data or information. Stay tuned for more episodes in the 'Mastering Prompts: Crafting AI's Creative Genius' playlist @GenAIExplainedSimply .

Training AI on AI Processors: Optimizing Performance! Part 1 #ai #viral #trending #aiinindia

Training AI on AI Processors: Optimizing Performance! Part 1 #ai #viral #trending #aiinindia AI processors are the muscle behind the magic of artificial intelligence. But just like a high-performance car, these processors need fine-tuning to deliver their best performance. In this video, we'll explore techniques for optimizing AI model training on AI processors, maximizing speed and efficiency. Why Optimize for AI Processors? Traditional CPUs struggle with the massive calculations involved in training AI models. AI processors, on the other hand, are built for this specific task. They boast unique features like vector processing and tensor cores, which can significantly accelerate training times. However, there's still room for optimization. Optimizing Training for AI Processors: Here are some key strategies to get the most out of your AI processor: Data Preprocessing: Before feeding data to your model, clean and pre-process it. This reduces training time and improves model accuracy. Tools like data normalization and dimensionality reduction can be helpful. Model Architecture Selection: Not all AI models are created equal. Choose an architecture that aligns with your specific task and leverages the strengths of your AI processor. For example, convolutional neural networks (CNNs) are well-suited for image recognition tasks and work well on AI processors with optimized hardware for matrix multiplication. Batch Size Tuning: The size of data batches fed to the model during training can significantly impact performance. Experiment with different batch sizes to find the sweet spot between efficient memory utilization and processing speed. Parallelization: AI processors excel at parallel processing. Leverage libraries like TensorFlow or PyTorch that can distribute training tasks across multiple cores within the processor, further accelerating computation. Quantization: Quantization involves reducing the precision of data types used in calculations. While this might seem counterintuitive, it can significantly improve training speed on AI processors with minimal impact on model accuracy. Monitoring and Fine-Tuning: Optimization isn't a one-time process. Continuously monitor your training process using metrics like training loss and accuracy. Based on these metrics, adjust hyperparameters like learning rate or optimizer settings to further refine performance. Tools like TensorBoard can be invaluable for visualization and performance analysis. Benefits of Optimization: By optimizing your training pipeline for AI processors, you can achieve significant benefits: Faster Training Times: Reduced training times allow for quicker experimentation and model iteration, accelerating the development process. Improved Efficiency: Efficient training translates to lower energy consumption, making your AI solution more environmentally friendly. Cost Savings: Faster training translates to less resource utilization in the cloud, potentially reducing your cloud computing costs. Conclusion: Optimizing AI model training on AI processors unlocks their true potential, leading to faster training times, improved efficiency, and cost savings. By following these optimization techniques and leveraging the power of AI processors, you can unlock the full potential of your AI projects. #AIModelTraining, #AIHardware, #Optimization, #DeepLearning, #MachineLearning, #CloudAI AI, artificial intelligence, machine learning, deep learning, model training, AI processors, hardware optimization, cloud computing #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Unveiling Phi-3: Microsoft's Tiny Yet Mighty Model Outperform Llama 3 & Mixtral with Unmatched Power

Dive into the world of cutting-edge AI technology with the introduction of Phi-3, Microsoft's latest innovation in the field. This tiny yet powerful model is making waves by surpassing competitors like Llama 3 and Mixtral with its unmatched performance and capabilities. Explore the potential of Phi-3 and harness the power of trending keywords such as artificial intelligence, machine learning, neural networks, and deep learning. Stay ahead of the curve and witness the transformative impact of Phi-3 in revolutionizing the landscape of AI technology. Don't miss out on the opportunity to experience the next level of innovation with Microsoft's Phi-3 model. [Link's Used]: Research Paper: https://arxiv.org/pdf/2404.14219 Blog Post 1 Phi-3: https://azure.microsoft.com/en-us/blo... Blog Post 2 Phi-3: https://news.microsoft.com/source/fea... Try it out: https://huggingface.co/chat/ Model Card: https://huggingface.co/microsoft/Phi-... In this video, we delve into the Phi-3 family of open AI models, showcasing their unrivaled performance and cost-effectiveness. Learn how Phi-3 models outshine their counterparts across language, reasoning, coding, and math benchmarks, offering unparalleled quality and practicality for generative AI applications. Explore Phi-3-mini, the 3.8B language model, available now on Microsoft Azure AI Studio, Hugging Face, and Ollama. Discover its unique features, including instruction-tuning and support for a context window of up to 128K tokens, without compromising quality. Learn how Phi-3 models are optimized for various platforms, from Azure AI to NVIDIA GPUs, ensuring seamless integration and superior performance. Join the AI revolution with Phi-3! Like, subscribe, and share to stay updated on the latest advancements in AI technology. Don't miss out on unlocking the full potential of Phi-3 for your projects and applications. 👍 If you found this exploration enlightening, give it a thumbs up! 🔔 Subscribe for more cutting-edge insights into AI and machine learning. 🌐 Share this video with fellow enthusiasts eager to unlock the potential of Phi-3 Additional Tags and Keywords: - AI - Copilot - Generative AI - Microsoft AI - Language Models - Small Language Models - Phi-3 - AI Innovation Hashtags: #ai #generativeai #Phi3 #microsoftai #SLMs #Innovation #llama3

Training AI on AI Processors: Optimizing Performance! Part 2 #ai #viral #trending #aiinindia

Training AI on AI Processors: Optimizing Performance! Part 2 #ai #viral #trending #aiinindia AI processors are the muscle behind the magic of artificial intelligence. But just like a high-performance car, these processors need fine-tuning to deliver their best performance. In this video, we'll explore techniques for optimizing AI model training on AI processors, maximizing speed and efficiency. Why Optimize for AI Processors? Traditional CPUs struggle with the massive calculations involved in training AI models. AI processors, on the other hand, are built for this specific task. They boast unique features like vector processing and tensor cores, which can significantly accelerate training times. However, there's still room for optimization. Optimizing Training for AI Processors: Here are some key strategies to get the most out of your AI processor: Data Preprocessing: Before feeding data to your model, clean and pre-process it. This reduces training time and improves model accuracy. Tools like data normalization and dimensionality reduction can be helpful. Model Architecture Selection: Not all AI models are created equal. Choose an architecture that aligns with your specific task and leverages the strengths of your AI processor. For example, convolutional neural networks (CNNs) are well-suited for image recognition tasks and work well on AI processors with optimized hardware for matrix multiplication. Batch Size Tuning: The size of data batches fed to the model during training can significantly impact performance. Experiment with different batch sizes to find the sweet spot between efficient memory utilization and processing speed. Parallelization: AI processors excel at parallel processing. Leverage libraries like TensorFlow or PyTorch that can distribute training tasks across multiple cores within the processor, further accelerating computation. Quantization: Quantization involves reducing the precision of data types used in calculations. While this might seem counterintuitive, it can significantly improve training speed on AI processors with minimal impact on model accuracy. Monitoring and Fine-Tuning: Optimization isn't a one-time process. Continuously monitor your training process using metrics like training loss and accuracy. Based on these metrics, adjust hyperparameters like learning rate or optimizer settings to further refine performance. Tools like TensorBoard can be invaluable for visualization and performance analysis. Benefits of Optimization: By optimizing your training pipeline for AI processors, you can achieve significant benefits: Faster Training Times: Reduced training times allow for quicker experimentation and model iteration, accelerating the development process. Improved Efficiency: Efficient training translates to lower energy consumption, making your AI solution more environmentally friendly. Cost Savings: Faster training translates to less resource utilization in the cloud, potentially reducing your cloud computing costs. Conclusion: Optimizing AI model training on AI processors unlocks their true potential, leading to faster training times, improved efficiency, and cost savings. By following these optimization techniques and leveraging the power of AI processors, you can unlock the full potential of your AI projects. #AIModelTraining, #AIHardware, #Optimization, #DeepLearning, #MachineLearning, #CloudAI AI, artificial intelligence, machine learning, deep learning, model training, AI processors, hardware optimization, cloud computing #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

🌟 Day 24 Exclusive : Machine Learning for FREE in 30 Days!🚀Join the Ultimate Live Masterclass🔥

GitHub Link for Day 24 Notes: https://github.com/TheiScale/30_Days_Machine_Learning/tree/main ➖➖➖➖➖➖ Connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ Download Our Android App 📲- https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1 ➖➖➖➖➖➖ ✨ Kickstart your career in a Data Analyst. Apply today! - https://tinyurl.com/3wv4rw4c ➖➖➖➖➖➖ ❇️ For Jobs Updates on Data Analyst Profile, Join our WhatsApp Group- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖ 💢 For Any Further Queries or Doubts? Contact- 7880-113-112 (Student Helpline Number) ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ➖➖➖➖➖➖ #datascience #machinelearning #theiscale #30dayschallenge #freeclasses #freecourse #preparation #iscale #learning #dataanalysis #data #courseinhindi #hindi #artificialintelligence #ai #skills #job #jobinterview #skill #skillup #skillindia

AI Guardians: Can Cars Prevent Accidents? Part 4 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 4 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

AI Guardians: Can Cars Prevent Accidents? Part 5 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 5 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

AI Guardians: Can Cars Prevent Accidents? Part 6 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 6 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

AI Guardians: Can Cars Prevent Accidents? Part 8 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 8 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Revolutionary AI models for application building #machinelearning #generativeai #ai #llm

Next-Gen Solutions: Generative AI & LLM Redefine Real Estate and Healthcare Landscapes In this video, we explore how next-generation solutions, including Generative AI and Large Language Models (LLMs), are reshaping the real estate and healthcare industries. From enhancing property searches and personalized healthcare to revolutionizing data management, these technologies are driving efficiency and innovation. Join us as we uncover the impact of Generative AI and LLMs on these industries and how they are redefining their landscapes. #generativeai #LargeLanguageModels #LLM #realestate #Healthcare #naturallanguageprocessing #industryinnovation #PropertySearches #personalizedhealthcare #DataManagement #Efficiency #businesstransformation #technologyIntegration WEBSITE - https://www.thedevmasters.com/ GEN AI FOR ENTREPRENEURS AND BUSINESSES - https://www.thedevmasters.com/generativeai-for-professionals-tdm-thedevmasters FACEBOOK - https://www.facebook.com/TDMtheDevMasters TWITTER - https://twitter.com/the_Dev_Masters INSTAGRAM - https://www.instagram.com/thedevmasters/ Want to learn more? https://www.thedevmasters.com/contact-us

Mastering Generative AI (5 Weekends Batch) tutorials || by Mrs. Sasmitha On 27-04-2024 @7AM IST

Mastering Generative AI: Building Real Time Gen AI Applications with 10+ Libraries and Frameworks (LLMs, Fine-Tune LLMs, RAG, Image Diffusion Models) (5 Weekends Batch) tutorials || by Mrs. Sasmitha On 27-04-2024 @7AM IST =========================================================== To get latest DURGASOFT updates on trending Technologies, Please Subscribe to Our Telegram Channel: LINK: https://t.me/durgasoftupdates =================================================== java python python python by durgasoft python videos by durgasoft Python Online Training Learn Python Python Tutorial python programming Tutorial python Programming Language Tutorial python examples python Advanced Tutorial python Tutorial for Beginners with examples python Guide python 3.0 Tutorial python crash course Python Tutorial for Beginners Python Tutorial for Absolute Beginners Python Tutorials by durgasoft Python Programming videos by durgasir ========================================= You an see more Java videos following link: Java tutorial by durga sir https://goo.gl/XWb4RL Java 9 by durga sir https://goo.gl/hXGyBW Java 1.8 Version New Features by Durga sir https://goo.gl/iHXXYU Adv Java JDBC Tutorial by Durga sir https://goo.gl/8q16Eo OCJA 1.8 Java SE 8 Programmer - I (1Z0 - 808 ) By Durga sir https://goo.gl/gC6R7f Core Java by NagoorBabu sir https://goo.gl/s6Nvj1 Advenced Java by Nagoorbabu sir https://goo.gl/ZZonzJ CoreJava by Ratan https://goo.gl/3VM19v Advanced Java jdbc by Ratan https://goo.gl/Rn2UXr Advjava tutorials - JSP by Ratan https://goo.gl/Z6ytxm Adv java servlets tutorial by ratan https://goo.gl/zTwi9y Servlet and JSP Tutorial by anji reddy https://goo.gl/jZMRUv Advanced Java Jdbc by Anjireddy https://goo.gl/16CGzX Hibernate byAnjireddy https://goo.gl/qQojvZ Struts by Anjireddy https://goo.gl/nE1Eof Spring by Mr.AnjiReddy https://goo.gl/NfN14R ADV JAVA by Naveen https://goo.gl/bhSsXF Spring by Mr.Naveen https://goo.gl/huVwFN Hibernate by Mr. Naveen https://goo.gl/TY3Wpd Struts by Mr.Naveen https://goo.gl/Vkmiw7 #DURGASOFTWARE #DURGASOFT #MasteringGenerativeAI

Taylor Swift Explains Generative AI - Data Science For Executives

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AI Mechanics: Diagnosing Cars Without Humans? Part 3 #ai #viral #trending #aiinindia

AI Mechanics: Diagnosing Cars Without Humans? Part 3 #ai #viral #trending #aiinindia Car troubles got you stumped? Don't worry, the future of car repair is here! In this video, we'll explore how Artificial Intelligence (AI) is transforming the way cars are diagnosed. The Struggles of Traditional Car Diagnostics: Reliance on Mechanic Expertise: Diagnosing car problems often relies on a mechanic's experience and intuition, leading to potential inconsistencies and misdiagnoses. Time-Consuming and Laborious Process: Traditional diagnostics can involve extensive inspections and manual testing, taking time and potentially costing more. Difficulty Interpreting Complex Data: Modern cars generate a vast amount of data, making it challenging to identify the root cause of issues without advanced tools. How AI is Changing the Game: Machine Learning and Advanced Analytics: AI algorithms can analyze vast datasets of car diagnostic information to identify patterns and pinpoint potential problems. OBD-II Port and Sensor Data Analysis: AI can analyze data from a car's On-Board Diagnostics (OBD-II) port and various sensors to detect anomalies and predict issues. AI-powered Diagnostic Tools: Advanced tools use AI to translate sensor data into clear diagnoses, assisting mechanics and potentially empowering car owners. The Benefits of AI-powered Car Diagnostics: Improved Accuracy and Consistency: AI can analyze data objectively, leading to more accurate diagnoses and reduced misidentification of problems. Increased Efficiency and Time Savings: AI can streamline diagnostics, helping mechanics identify issues faster and saving car owners time and money. Predictive Maintenance and Early Detection: AI can analyze data to predict potential problems before they cause major breakdowns, promoting preventive maintenance. Empowering Car Owners: AI-powered diagnostic tools can provide car owners with basic insights into potential issues, potentially enabling self-diagnosis for minor problems. The Future of AI in Car Diagnostics: AI-powered Repair Recommendations: AI could not only diagnose problems but also recommend appropriate repairs and suggest parts replacements. Augmented Reality (AR) Applications: AR technology could be integrated with AI to visually guide mechanics during repairs and troubleshooting. Personalized Maintenance Schedules: AI could analyze individual car usage patterns and recommend personalized maintenance schedules for optimal performance. While AI won't replace mechanics entirely, it's becoming a powerful tool in their arsenal. AI-powered diagnostics can improve accuracy, efficiency, and potentially empower car owners. As AI technology continues to evolve, the future of car repair promises a more streamlined and data-driven approach to keeping your vehicle on the road. #AI #CarDiagnostics #MachineLearning #PredictiveMaintenance #OBD-II #CarMaintenance #Mechanics #Efficiency #Accuracy #AIRepair #ARTechnology #FutureofCars artificial intelligence, car diagnostics, machine learning, predictive maintenance, OBD-II, car maintenance, mechanics, efficiency, accuracy, AI repair, AR technology, future of cars #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

AI Mechanics: Diagnosing Cars Without Humans? Part 4 #ai #viral #trending #aiinindia

AI Mechanics: Diagnosing Cars Without Humans? Part 4 #ai #viral #trending #aiinindia Car troubles got you stumped? Don't worry, the future of car repair is here! In this video, we'll explore how Artificial Intelligence (AI) is transforming the way cars are diagnosed. The Struggles of Traditional Car Diagnostics: Reliance on Mechanic Expertise: Diagnosing car problems often relies on a mechanic's experience and intuition, leading to potential inconsistencies and misdiagnoses. Time-Consuming and Laborious Process: Traditional diagnostics can involve extensive inspections and manual testing, taking time and potentially costing more. Difficulty Interpreting Complex Data: Modern cars generate a vast amount of data, making it challenging to identify the root cause of issues without advanced tools. How AI is Changing the Game: Machine Learning and Advanced Analytics: AI algorithms can analyze vast datasets of car diagnostic information to identify patterns and pinpoint potential problems. OBD-II Port and Sensor Data Analysis: AI can analyze data from a car's On-Board Diagnostics (OBD-II) port and various sensors to detect anomalies and predict issues. AI-powered Diagnostic Tools: Advanced tools use AI to translate sensor data into clear diagnoses, assisting mechanics and potentially empowering car owners. The Benefits of AI-powered Car Diagnostics: Improved Accuracy and Consistency: AI can analyze data objectively, leading to more accurate diagnoses and reduced misidentification of problems. Increased Efficiency and Time Savings: AI can streamline diagnostics, helping mechanics identify issues faster and saving car owners time and money. Predictive Maintenance and Early Detection: AI can analyze data to predict potential problems before they cause major breakdowns, promoting preventive maintenance. Empowering Car Owners: AI-powered diagnostic tools can provide car owners with basic insights into potential issues, potentially enabling self-diagnosis for minor problems. The Future of AI in Car Diagnostics: AI-powered Repair Recommendations: AI could not only diagnose problems but also recommend appropriate repairs and suggest parts replacements. Augmented Reality (AR) Applications: AR technology could be integrated with AI to visually guide mechanics during repairs and troubleshooting. Personalized Maintenance Schedules: AI could analyze individual car usage patterns and recommend personalized maintenance schedules for optimal performance. While AI won't replace mechanics entirely, it's becoming a powerful tool in their arsenal. AI-powered diagnostics can improve accuracy, efficiency, and potentially empower car owners. As AI technology continues to evolve, the future of car repair promises a more streamlined and data-driven approach to keeping your vehicle on the road. #AI #CarDiagnostics #MachineLearning #PredictiveMaintenance #OBD-II #CarMaintenance #Mechanics #Efficiency #Accuracy #AIRepair #ARTechnology #FutureofCars artificial intelligence, car diagnostics, machine learning, predictive maintenance, OBD-II, car maintenance, mechanics, efficiency, accuracy, AI repair, AR technology, future of cars #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

5. ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2

ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2 In this comprehensive YouTube tutorial, you'll master building a powerful AI system that: Extracts data and text from ANY PDF document using the Spring AI module and ETL (Extract, Transform, Load) processes. Transforms the extracted information for seamless integration with various chatbot frameworks. Empowers your chatbot with advanced Q&A capabilities using cutting-edge AI models like ChatGPT, OpenAI's LaMDA (Language Model for Dialogue Applications), Jurassic-1 Jumbo's LLama LaMDA 3, and Google AI's Bedrock. Stores key information as embeddings in a vector database for efficient retrieval and analysis by your chatbot. By the end of this video, you'll be able to: Develop a robust Spring AI application to handle PDF data extraction. Design a chatbot that interacts with users and answers their questions about the processed documents. Integrate industry-leading AI models to provide informative and insightful responses. Utilize vector databases to optimize information storage and retrieval for your chatbot. This tutorial is perfect for developers and AI enthusiasts who want to: Automate document processing and analysis tasks. Build intelligent chatbots that can answer complex questions. Leverage the power of AI to unlock valuable insights from PDFs. Get ready to: Dive into Spring AI and its capabilities for PDF data extraction. Explore ETL processes for efficient data transformation. Unleash the potential of ChatGPT, LaMDA, LLama LaMDA 3, and Bedrock in your chatbot. Implement vector databases for optimized information storage. Don't miss out on this opportunity to empower your AI projects with powerful PDF processing and insightful chatbot interactions! Like and subscribe for more in-depth AI tutorials! REPOSITORY [https://gitlab.com/code-with-bisky/spring-ai-demo.git] #SpringAI #ETL #PDFprocessing #ChatbotDevelopment #ChatGPT #LaMDA #LLamaLaMDA3 #Bedrock #AI #MachineLearning #NLP #VectorDatabase #QA #DocumentAnalysis #NaturalLanguageProcessing #ArtificialIntelligence #DeepLearning #ChatInterface #ConversationalAI #DialogueSystems #InformationRetrieval #QuestionAnswering #FAQsystem #VirtualAssistant #KnowledgeBase #CustomerServiceChatbot #EnterpriseChatbot #Automation #Productivity #Springboot #ApacheSpark #MachineLearningLibraries #TensorFlow #PyTorch #Python #DeveloperTutorial #beginnerguide #codewithbisky

What Is Machine Learning? A Beginner's Guide to Artificial Intelligence

Curious about what machine learning is? In this beginner's guide to artificial intelligence, we dive into the world of machine learning, explaining what it is and how it works. Whether you're new to the concept or looking to gain a better understanding, this video breaks down the basics of machine learning in a simple and easy-to-follow way. Watch now to demystify the world of artificial intelligence and learn how machine learning is shaping the future. Stay tuned for more informative content on technology and innovation!

Cars That Know You: AI Learns Your Driving Style! Part 5 #ai #viral #trending #aiinindia

Cars That Know You: AI Learns Your Driving Style! Part 5 #ai #viral #trending #aiinindia Ever wished your car could adjust to your driving style? Buckle up! Today, we'll explore how Artificial Intelligence (AI) is making personalized driving a reality. The Rise of Personalized Driving: Connected Cars and Data Collection: Modern cars are equipped with sensors and systems that collect data on driving habits, including speed, braking patterns, and route choices. Machine Learning Algorithms: AI algorithms analyze this data to learn about your individual driving style, preferences, and routines. Adapting the Driving Experience: Based on this analysis, AI can personalize various aspects of the car's performance to enhance your experience. How AI Can Personalize Your Drive: Optimizing Comfort Settings: AI can adjust features like seat position, climate control, and even music preferences based on your routine or time of day. Adaptive Cruise Control and Driver Assistance: AI can tailor cruise control behavior and adjust assistance features to match your level of comfort and desired level of control. Navigation and Route Optimization: AI can learn your preferred routes, anticipate traffic patterns, and suggest alternative routes based on your driving habits. Fuel Efficiency Coaching: AI can analyze driving data to identify areas for improvement and provide in-car feedback to promote fuel-efficient driving habits. The Benefits of Personalized Driving with AI: Enhanced Comfort and Convenience: A car that adapts to your preferences can make your driving experience more comfortable and enjoyable. Improved Safety and Awareness: AI-powered driver assistance features tailored to your style can enhance road safety and situational awareness. Fuel Efficiency Optimization: AI can help you adopt fuel-efficient driving habits, potentially saving you money at the pump. Reduced Stress and Fatigue: A car that anticipates your needs and adjusts accordingly can minimize driving fatigue and stress. Privacy Concerns and User Control: Transparency and Data Security: It's crucial to ensure transparency in how car manufacturers collect and use driver data, prioritizing user privacy and security. Opt-in and Opt-out Options: Drivers should have the right to choose which aspects of their driving data are collected and used for personalization features. The Future of Personalized Driving with AI: Advanced Driver Assistance Systems (ADAS): AI could further enhance ADAS features, creating a personalized co-pilot experience. Predictive Maintenance and Connected Car Services: AI could analyze driving data to anticipate maintenance needs and connect drivers with relevant services. Personalized Learning and Continuous Improvement: AI systems could constantly learn and adapt, further tailoring the driving experience to individual users. Personalized driving with AI is a rapidly evolving concept. While concerns regarding data privacy need to be addressed, AI has the potential to make driving a safer, more enjoyable, and ultimately personalized experience for every driver. #AI #PersonalizedDriving #CarTechnology #MachineLearning #DriverAssistance #Comfort #Safety #FuelEfficiency #ConnectedCars #Privacy #FutureofCars artificial intelligence, personalized driving, car technology, machine learning, driver assistance, comfort, safety, fuel efficiency, connected cars, privacy, future of cars #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Mind-Blowing Deepfake Creation with Google Colab

Sure, here's an SEO-optimized video description for your "Easy Deepfake Tutorial - New Google Colab Roop Enhanced" video: --- **Title**: Easy Deepfake Tutorial - New Google Colab Roop Enhanced **Description**: Welcome to our latest tutorial on creating deepfake videos using the new Google Colab Roop Enhanced tool! In this step-by-step guide, we'll walk you through the process of generating high-quality deepfake videos with ease. Whether you're a beginner or an experienced deepfake enthusiast, this tutorial is designed to simplify the process and make it accessible to everyone. With the power of Google Colab Roop Enhanced, you can seamlessly swap faces, dub voices, and create convincing videos that blur the line between reality and fiction. Join us as we explore the enhanced features of Google Colab Roop, including improved performance, enhanced stability, and a user-friendly interface that makes deepfake creation easier than ever before. By the end of this tutorial, you'll have the skills and knowledge to create your own deepfake videos in minutes, opening up a world of creative possibilities for storytelling, entertainment, and beyond. Don't miss out on this opportunity to master the art of deepfake creation. Watch our tutorial now and unleash your creativity with Google Colab Roop Enhanced! Subscribe to our channel for more tutorials, tips, and tricks on AI, machine learning, and digital content creation. #DeepfakeTutorial #GoogleColab #RoopEnhanced #AI #MachineLearning #Tutorial #DeepfakeCreation #DigitalContentCreation

Python certification exam Question-21 #shorts #shortsfeed #pythoncertification #pythontutorial #ai

these questions collected from recent python certification exam #python for more python and machine learning tutorials and docs pls check my udemy links given below : https://www.udemy.com/course/complete-machine-learning-course-with-python/?couponCode=LETSLEARNNOWPP https://www.udemy.com/course/practice-python-mega-pack-500-exercisesinterview-qa-etc/?couponCode=NVDPRODIN35 https://www.udemy.com/course/learn-python-from-scratch-t/?couponCode=NVDPRODIN35 https://www.udemy.com/course/learn-python-from-scratch-t/ https://www.udemy.com/course/complete-html-css-tutorial-with-project-interview-qa/ https://www.udemy.com/course/mysql-jc/ https://twitter.com/chaitupython https://www.instagram.com/chaitudeveloper2/ https://www.youtube.com/channel/UChFUVlYlwBps2gUXvxkOX_w #python #pythoncertification #AI #pythontutorials #pythontrends

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Pika AI | Best AI Video creator Platform

Generative AI - Lecture 7

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Thomas J. Fan - Time Series EDA with STUMPY (April 10, 2024)

STUMPY is a robust and scalable Python library for computing a matrix profile, which can create valuable insights about our time series. STUMPY is built with Numba, which parallelizes computing on CPUs and accelerates it with GPUs. In this talk, we learn about the matrix profile and the various methods to compute it. Afterwards, we explore how to use the matrix profile in applications such as pattern discovery, anomaly detection, semantic segmentation, and time series chains. Thomas J. Fan is a senior machine learning engineer at Union.ai and a maintainer for scikit-learn. At scikit-learn, he led the development of DataFrame interoperability and GPU support through PyTorch. Previously, as a researcher at Columbia University, Thomas collaborated with NASA to automate machine learning workflows.

[Demo] AI-Powered Personalized Learning and Assessment Platform | EduPrepAI | The Fifth Elephant

Winning project 🏆 Empowering Students and Educators Through Dynamic, Interactive Learning Solutions Say goodbye to tedious lecture videos and hello to dynamic learning experiences. EduPrepAI converts lengthy educational videos into concise summaries and lecture notes while creating engaging multiple-choice quizzes for interactive assessment. By automating the quiz creation process, EduPrepAI provides teachers with valuable time savings and offers students a personalized learning environment. Instant grading and performance analytics further enhance the efficiency and effectiveness of learning with AI for personalized assessment. Follow the project on: https://hasgeek.com/fifthelephant/open-source-ai-hackathon/sub/eduprepai-WVmNQgAfWrLp5zqpNvtw2r Demo by Gagan Gupta, Harshita Kamani 🏆 The prizes for this hackathon have been sponsored by Meta 👉🏽 Visit https://has.gy/at1k to catch up on the happenings at The Fifth Elephant Open Source AI Hackathon. Stay tuned for the announcement of the next edition of the Open Source AI Hackathon. #Hasgeek #TheFifthElephant #EdTech #PersonalizedLearning #InteractiveQuizzes #AIAssessment #EducationTechnology #StudentEmpowerment #TeacherSupport #LearningAnalytics

Quick Introduction to Amazon SageMaker

#MachineLearning #AWS Machine learning for every data scientist and developer. Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy machine learning models quickly by bringing together a broad set of purpose-built capabilities. In this demo, learn about how SageMaker can accelerate machine learning development by way of an example where we build the perfect musical playlist tailored to a user's tastes. Learn more about Amazon SageMaker at - http://amzn.to/2NgGcuP

Easy Maths for Machine Learning and Deep Learning | AI Asaan HAI

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MLflow Registry: Share, Control, and Version Your Machine Learning Models with Ease #datascience

If you're using Unity Catalog https://docs.databricks.com/en/machine-learning/manage-model-lifecycle/index.html If you're not https://docs.databricks.com/en/machine-learning/manage-model-lifecycle/workspace-model-registry.html

Introduction to AI | Supervised Learning Basics | BrainyHub

Learn the fundamentals of supervised learning with BrainyHub's latest video! Dive into the world of machine learning as we explore the basics, from understanding labeled data to training algorithms. Whether you're a beginner or brushing up on your skills, this video is perfect for anyone curious about how machines learn. Watch now and unlock the secrets behind this powerful AI technique! Hashtags: #MachineLearning #SupervisedLearning #DataScience #AI #Education #AIandML #BrainyHub #artificialintelligence

Cost Function of Logistic Regression Model | #machinelearning #datascience

Welcome to Analytics Yogi, your go-to source for navigating the expansive world of data! 🧘‍♂️✨ Whether you're a budding analyst, a seasoned data scientist, or simply curious about the magic behind machine learning and AI, you've found the right place. My Website: https://vitalflux.com In this video, I have covered the following topic: 1. Brief on Logistic regression model including sigmoid function, S-curve 2. Cost function, cost function curve 3. Cost function explained with examples for the positive class. 4. Cost function explained with examples for the negative class Here at Analytics Yogi, we demystify the complexities of data analytics, data science, machine learning, AI, and the revolutionary field of generative AI through engaging and accessible videos. Our content is designed to enlighten and inspire, regardless of your skill level. From foundational tutorials and case studies to cutting-edge research and tools, we cover it all with clarity and insight. Join us on this journey to harness the transformative power of data. Whether you're looking to refine your professional skills, solve real-world problems, or explore new technological frontiers, Analytics Yogi is here to guide you through the ever-evolving landscape of data technology. 🔔 Subscribe to stay updated with our latest videos, dive into our playlists for structured learning, and leave your thoughts in the comments—we love engaging with our community. Let's decode the data universe together! #machinelearning #datascience #logisticregression #costfunction #statistics #statisticalmethods

Top 5 AI for Beginners (With Tutorials!)

Top 5 AI for Beginners (With Tutorials!) Dive into the world of Artificial Intelligence! This video explores the 5 most powerful (and beginner-friendly) AI tools you can use today. We'll break down each AI and provide step-by-step tutorials to get you started. Whether you're a designer, writer, or just curious, there's an AI for you! #AchievingSpace #artificialintelligence #machinelearning #AIforbeginners #AItools #learntocode #future #technology #tutorials #howtogeneratelettter#tutorials #tutorial #tarektechbangla #youtube#love #tutorialsvideos #tips #videotutorial #instagood #computer #howto #howtocreate #walpaper

Gen AI Course | Gen AI Tutorial For Beginners

This Gen AI tutorial for beginners is sort of like a Gen AI mini-course where a person can start learning the fundamentals of Gen AI and in the end, we build two end-to-end projects. Below is the outline of the exact topics that are covered. Code for project 1: https://github.com/codebasics/langchain/tree/main/2_news_research_tool_project Code for project 2: https://github.com/codebasics/langchain/tree/main/4_sqldb_tshirts LangChain source code: https://codebasics.io/resources/langchain-crash-course Vector database article: https://www.pinecone.io/learn/vector-database/ 00:00 Overview 00:29 What is Gen AI or Generative AI? 01:23 Gen AI evolution 10:00 What is LLM (Large Language Model)? 13:55 Embeddings, Vector Database 21:24 Retrieval Augmented Generation 28:16 Tooling for Gen AI 29:14 Langchain Fundamentals 1:14:49 End-to-End Project 1: Equity Research Tool 2:28:25 End-to-End Project 2: Retail Q&A Tool Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/ ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true

Ultimate Machine Learning Guide: Simplify Complex Algorithms (2024)

Dive into the world of machine learning with our Ultimate Machine Learning Guide for 2024! 🤖 This beginner-friendly tutorial will help you unravel the mysteries behind complex algorithms and make learning ML a breeze. Don't miss out on this opportunity to simplify your understanding of machine learning concepts and techniques! 🚀 Let's demystify the world of AI together and unlock your potential in this exciting field. Watch now and level up your machine learning skills! 🔥📈

GPT Workshop: Build Fraud Detection App Using OpenAI | SingleStore Webinars

In this video you will learn how to build a Fraud Detection App using OpenAI and SingleStore. By the end of this video you will be equipped with practical insights and tools to build a fraud detection application with ease and in no time. Discussion Topics 1. How to build a Fraud Detection App using OpenAI and SingleStoreDB. 2. Learn practical techniques and approaches for building intelligent fraud detection models. 3. Explore the power of SingleStoreDB's scalable, distributed architecture and OpenAI's machine learning models for Fraud Detection. Sign up for SingleStore’s Free Shared Tier today! Click the link below and get full access to our cloud data platform without committing to a paid plan https://bit.ly/singlestore-cloud-free-trial ================================= In case you loved this webinar and want more such amazing ones you can sign up for our upcoming webinars from here - https://bit.ly/singlestorewebinars #FraudDetection #SingleStore #SiingleStoreWebinars #GPTWorkshop#OpenAI #FraudDetectionApp #FraudDetectionModels #ScalableDatabase #DistributedArchitechture #Machinelearningmodels #machinelearningbasics #distributedArchitecture

How Gemma introduced and Fine Tune (gemma-2b-it)

How Gemma Introduced and Fine-Tuned (Gemma-2B-IT ) In this video, we explore the inception of Gemma, unraveling its core concepts and the backbone of GPT and Transformer models. But that's not all—get ready to dive deep into the fine-tuning process! We guide you step-by-step through fine-tuning using Google Colab and even touch upon the intriguing possibilities with Google Vertex AI. Whether you're a seasoned ML enthusiast or a curious learner, this video is packed with insights and practical tips. also I saw the deep dive about transformer . #Gemma2B #FineTuning #MachineLearning #DeepLearning #GoogleColab #VertexAI #TransformerModels #MLInsights #PracticalTips #TechEnthusiast #ai #transformer #attention #backbend #innovation

Intro to Deep Q Learning - Learn Reinforcement Learning with Me

Interested in learning about Deep Q Learning for reinforcement learning? This video is the perfect intro to understanding this important concept in artificial intelligence. I host weekly deep RL study sessions on discord. Join us on thursdays at 10AM Eastern: https://discord.gg/jjVNxjd5 Let's connect: https://bio.blaisep.com

This is How AI Can Predict Stock Prices: An LSTM Tutorial

Download the source code from here: https://onepagecode.substack.com/ Ever wondered how AI can be used to predict stock prices? Dive into this comprehensive tutorial where we unravel the mysteries of using LSTM (Long Short-Term Memory) networks to forecast stock market trends. In this video, we'll guide you through the entire process, from setting up your coding environment and fetching data with the Alpha Vantage API to preparing your data and building an LSTM model. Whether you're a student of data science, a finance professional, or just a curious tech enthusiast, this video will provide you with the tools and knowledge to start implementing your own AI-driven stock predictions. Don't miss out on this exciting journey into the world of financial technology—subscribe and hit the bell icon to stay updated on our latest tutorials and insights! 00:00:00 Install libraries, setup PyTorch, Alpha Vantage, print message 00:01:18 API key, data, plots, model, training details 00:03:03 This code downloads and plots daily stock data 00:04:33 Class to normalize and inverse data 00:05:36 Prepare and split data for training 00:06:55 Convert time series data for LSTM 00:08:25 LSTM model for time series forecasting 00:10:24 Code for training and evaluating a neural network using PyTorch with adjustable hyperparameters 00:12:37 Load data, make predictions, plot results 00:14:10 Use a trained model to make stock price predictions and display a plot of predicted prices

what are neural networks, Unlocking the Mystery of Neural Networks.

Unlocking the Mystery of Neural Networks: A Beginner's Guide! Dive into the fascinating world of artificial intelligence with this comprehensive breakdown of neural networks. From understanding the fundamentals to unraveling complex layers, join me on an enlightening journey through the basics of neural networks. Whether you're a curious novice or an aspiring AI enthusiast, this video promises to demystify the core concepts, leaving you empowered and eager to explore further. Get ready to embark on a captivating exploration of the brain-inspired algorithms shaping our digital future! Link for the book :- https://shorturl.at/apqLR link for creating your own neural network from scratch by Samson Zhang:- https://shorturl.at/chlwV

How to Close AI’s Operational Gaps with VAST & Run:ai

As AI is slowly but surely making its way into every aspect of our lives, both at home and at work, enterprises are taking full advantage of off-the-shelf generative AI solutions that are easily accessible and provide quick wins to any organization. However, the true promise and profit in the AI era lie in complex, high-value use cases. The complexities of these AI use cases have created technological gaps that need to be closed to achieve these objectives. To address the critical needs of enterprises embarking on large-scale AI initiatives, VAST is partnering with Run:ai to define AI operations at scale and offer a full-stack solution encompassing compute, storage, and data management. Watch this on-demand webinar featuring experts from VAST & Run:ai. During the webinar, we provide in-depth demos of VAST & Run:ai’s solution, share insights into the future of AI operations, and give you the opportunity to have your questions answered by our knowledgeable team. Learn more: https://www.vastdata.com/press-releases/vast-runai-partner-to-revolutionize-ai-operations

5. ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2

ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2 In this comprehensive YouTube tutorial, you'll master building a powerful AI system that: Extracts data and text from ANY PDF document using the Spring AI module and ETL (Extract, Transform, Load) processes. Transforms the extracted information for seamless integration with various chatbot frameworks. Empowers your chatbot with advanced Q&A capabilities using cutting-edge AI models like ChatGPT, OpenAI's LaMDA (Language Model for Dialogue Applications), Jurassic-1 Jumbo's LLama LaMDA 3, and Google AI's Bedrock. Stores key information as embeddings in a vector database for efficient retrieval and analysis by your chatbot. By the end of this video, you'll be able to: Develop a robust Spring AI application to handle PDF data extraction. Design a chatbot that interacts with users and answers their questions about the processed documents. Integrate industry-leading AI models to provide informative and insightful responses. Utilize vector databases to optimize information storage and retrieval for your chatbot. This tutorial is perfect for developers and AI enthusiasts who want to: Automate document processing and analysis tasks. Build intelligent chatbots that can answer complex questions. Leverage the power of AI to unlock valuable insights from PDFs. Get ready to: Dive into Spring AI and its capabilities for PDF data extraction. Explore ETL processes for efficient data transformation. Unleash the potential of ChatGPT, LaMDA, LLama LaMDA 3, and Bedrock in your chatbot. Implement vector databases for optimized information storage. Don't miss out on this opportunity to empower your AI projects with powerful PDF processing and insightful chatbot interactions! Like and subscribe for more in-depth AI tutorials! REPOSITORY [https://gitlab.com/code-with-bisky/spring-ai-demo.git] #SpringAI #ETL #PDFprocessing #ChatbotDevelopment #ChatGPT #LaMDA #LLamaLaMDA3 #Bedrock #AI #MachineLearning #NLP #VectorDatabase #QA #DocumentAnalysis #NaturalLanguageProcessing #ArtificialIntelligence #DeepLearning #ChatInterface #ConversationalAI #DialogueSystems #InformationRetrieval #QuestionAnswering #FAQsystem #VirtualAssistant #KnowledgeBase #CustomerServiceChatbot #EnterpriseChatbot #Automation #Productivity #Springboot #ApacheSpark #MachineLearningLibraries #TensorFlow #PyTorch #Python #DeveloperTutorial #beginnerguide #codewithbisky

AI Guardians: Can Cars Prevent Accidents? Part 1 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 1 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube