Build Your Own Chat GPT from Scratch | Python For Beginners #3

Copy the patterns here: https://github.com/ebayboy123/Chat-Bot-Python/blob/main/Patterns/Patterns.txt Welcome to Python for Beginners in 2023 (part 3)! In this tutorial, we will be delving into the exciting world of artificial intelligence and natural language processing by building our very own chatbot like chat GPT using Python. This advanced Python project is perfect for those looking to take their coding skills to the next level. Throughout this video, you'll learn how to use Python to build an intelligent chatbot that can hold conversations with users, understand natural language, and respond appropriately. We'll cover advanced topics like machine learning, deep learning, and neural networks, which will give you a comprehensive understanding of how chatbots work. To help you follow along, I'll guide you through each step of the process with detailed explanations and code examples. You can also download the complete code for the project on my GitHub page and follow me on GitHub and Instagram for more updates on my projects and tutorials. Whether you're a beginner or an experienced programmer, if you're interested in AI, machine learning, and natural language processing, this tutorial is perfect for you. Subscribe to my channel for more Python tutorials and advanced coding projects, and don't forget to hit the notification bell to be the first to know when new videos are uploaded. Thank you for watching, and let's get started! Download the Code: https://github.com/ebayboy123/Chat-Bot-Python Follow me here: Github: https://github.com/ebayboy123 Instagram: https://www.instagram.com/jan.pnk/ Consider subscribing

AlphaZero from Scratch – Machine Learning Tutorial

In this machine learning course, you will learn how to build AlphaZero from scratch. AlphaZero is a game-playing algorithm that uses artificial intelligence and machine learning techniques to learn how to play board games at a superhuman level. 🔗 Trained Models + Code for each Chapter: https://github.com/foersterrobert/AlphaZeroFromScratch 🔗 AlphaZero-Paper: https://arxiv.org/pdf/1712.01815.pdf ✏️ Robert Förster created this course. Website: https://robertfoerster.com/ ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:35) Overview – Part 1 ⌨️ (0:05:43) MCTS-Explained ⌨️ (0:27:03) AlphaMCTS-Explained ⌨️ (0:39:05) Overview – Part 2 ⌨️ (0:45:14) Chapter 1: TicTacToe ⌨️ (1:00:32) Chapter 2: MCTS ⌨️ (1:34:54) Chapter 3: Model ⌨️ (2:03:09) Chapter 4: AlphaMCTS ⌨️ (2:16:39) Chapter 5: AlphaSelfPlay ⌨️ (2:35:13) Chapter 6: AlphaTrain ⌨️ (2:47:15) Chapter 7: AlphaTweaks ⌨️ (3:08:18) Chapter 8: ConnectFour ⌨️ (3:21:48) Chapter 9: AlphaParallel ⌨️ (3:55:59) Chapter 10: Eval 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

artificial intelligence

Artificial intelligence tutorial ,Machine learning basics,Deep learning explained,Natural language processing (NLP) tutorial,Computer vision (CV) tutorial,AI algorithms explained,How AI works,AI and its impact on society,AI applications and use cases,Latest AI technology trends,AI for beginners,AI training and courses,AI development tools,AI programming languages,AI job opportunities and career paths Introduction to Artificial Intelligence: Artificial Intelligence (AI) is an interdisciplinary field of study that aims to create machines and computer programs that can perform tasks that would typically require human intelligence, such as learning, problem-solving, reasoning, and perception. AI systems can process large amounts of data, recognize patterns, make decisions, and adapt to new situations with little or no human intervention. Definition of Artificial Intelligence Artificial Intelligence is a branch of computer science that focuses on the development of intelligent machines that can think, learn, and perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. History of Artificial Intelligence During the 1960s and 1970s, AI research focused on developing expert systems, which were designed to replicate the decision-making abilities of human experts in specific domains. In the 1980s and 1990s, AI research shifted to machine learning, which uses algorithms to enable machines to learn from data. Today, AI research is focused on developing deep learning algorithms, which are inspired by the structure and function of the human brain. Types of Artificial Intelligence Reactive Machines: These are systems that can only react to specific situations and cannot form memories or use past experiences to make decisions. Limited Memory: These are systems that can look into the past to make decisions based on previous experiences. Theory of Mind: These are systems that can understand human emotions, beliefs, and intentions. Self-aware: These are systems that can understand their own existence and emotions. Machine Learning Machine Learning (ML) is a subset of AI that focuses on the development of algorithms that can learn from and make predictions on data. There are three types of ML: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Deep Learning Deep Learning (DL) is a subset of ML that involves the use of neural networks to process and learn from data. DL algorithms can be used for various tasks, such as image recognition, natural language processing, and speech recognition. Natural Language Processing Natural Language Processing (NLP) is a subset of AI that involves the development of algorithms that can understand and generate human language. NLP can be used for various tasks, such as sentiment analysis, language translation, and speech recognition. Computer Vision Computer Vision (CV) is a subset of AI that focuses on the development of algorithms that can interpret and understand visual information from the world around us. CV can be used for various tasks, such as object recognition, face detection, and autonomous driving. Applications of Artificial Intelligence: AI has many potential applications, including healthcare, finance, transportation, education, and entertainment. In healthcare, AI can be used to develop personalized treatment plans and assist with medical diagnoses. In finance, AI can be used to analyze market trends and make investment decisions. In transportation, AI can be used to optimize traffic flow and improve driver safety. In education, AI can be used to develop personalized learning plans for students. In entertainment, AI can be used to develop intelligent game opponents and personalize content recommendations. Challenges in AI Despite its potential benefits, AI also poses several challenges, including ethical considerations, job displacement, and bias. Ethical considerations in AI include issues related to privacy, transparency, and accountability. As AI continues to advance, there are ethical considerations that need to be addressed, such as bias in algorithms, privacy concerns, and the potential impact on jobs. Responsible AI development involves ensuring that AI systems are fair, transparent, and accountable. Future of Artificial Intelligence The future of AI is promising, with advances in technology expected to lead to more sophisticated In conclusion, Artificial Intelligence is a fascinating and rapidly growing field that has the potential to revolutionize many industries and impact our daily lives. Understanding the basics of AI and its various subsets is crucial for staying up-to-date with the latest advances in technology and for being prepared for the changes that AI is likely to bring about in the future.

Machine Learning with Scikit-learn | Machine learning Tutorial

#machinelearning #datascience #codersarts #youtubeshorts #shorts #ai Complete Tutorial link: https://youtube.com/playlist?list=PLg8h8Ej1e8l1fhKwMVMLtCaug8jLLT0U_ So, join us on this journey and learn how to build your own email spam classifier using NLP and machine learning! NLP and Machine Learning Help Services ================================== NLP: https://www.codersarts.com/nlp-assignment-help Machine Learning : https://www.codersarts.com/machine-learning-assignment-help Machine Learning mentor: https://www.codersarts.com/mentors/hire-machine-learning-mentor Machine Learning Job Support: https://www.codersarts.com/job-support-services/machine-learning-job-support TensorFlow: https://www.codersarts.com/tensorflow-assignment-help Keras: https://www.codersarts.com/keras-assignment-help Scikit-learn: https://www.codersarts.com/scikit-learn-assignment-help PySpark: https://www.codersarts.com/pyspark-assignment-help PyTorch: https://www.codersarts.com/pytorch-assignment-help Computer Vision : https://www.codersarts.com/computer-vision-assignment-help R Programming : https://www.codersarts.com/r-programming-assignment-help Deep Learning : https://www.codersarts.com/deep-learning-assignment-help Face Recognition : https://www.codersarts.com/face-recognition-project-help Python: https://www.codersarts.com/python-assignment-help Django : https://www.codersarts.com/django-assignment-help Machine Learning, Deep learning projects series Credit Risk Prediction: https://youtube.com/playlist?list=PLg8h8Ej1e8l3LCo3YGlNT1bGmftRziRDT Bike Demand Analysis: https://youtube.com/playlist?list=PLg8h8Ej1e8l0QPTELrKgHWlTUsk9kRKYr Wine Quality Prediction: https://youtube.com/playlist?list=PLg8h8Ej1e8l0s4Aq11nu07OD5Qf3xBZm- Heart Attack Risk Prediction: https://youtube.com/playlist?list=PLg8h8Ej1e8l0P5f6xva2HaeyBvRyfkBoZ Bank Customers Exit Prediction - Deep Learning: https://youtube.com/playlist?list=PLg8h8Ej1e8l2l1Mgduc7b9gB4APsdn0rN Cat Dog classification using CNN: https://youtube.com/playlist?list=PLg8h8Ej1e8l3gsJl8xe1vmZxhp40LQJDh Brain Tumor Detection - Deep Learning: https://youtube.com/playlist?list=PLg8h8Ej1e8l1o43qy19MluTYFxLpDv82A Natural language processing (NLP): https://youtube.com/playlist?list=PLg8h8Ej1e8l0WMZjjZNWcAGtXe9bJHjCv Follow us on our Social Media Handles: Main Website: https://www.codersarts.com/ Codersarts Training: https://www.training.codersarts.com/ Instagram: https://www.instagram.com/codersarts/?hl=en Facebook: https://www.facebook.com/codersarts2017 Twitter: https://twitter.com/CodersArts #ArtificialIntelligence #DataScience #Multilingual #Search #UserExperience #CharacterLevelFeatures #NGrams #Algorithm #Programming #Tutorial #Tech #learning

EA’s Gaming AI: Incredible Juggling Skills!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/ljaSXpd 📝 The paper "Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts" is available here: https://ift.tt/IymLlrj My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/gd38msM 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/ImUgoEO Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/Ld56Ea8

Learn Python for AI in 30 Days: Files (Day 10 of 30)

3 secrets to securing a high paying Blockchain and Artificial Intelligence job with resume mastery! Pixeltests is an Edtech aimed at upskilling professionals into Web 3.0, Blockchain, Artificial Intelligence, Machine Learning, etc. This is the first lecture for the paid community. We meet weekly live for Q&A, doubts! If you want to know more about the community, please join free live 2 hour webinar! Blockchain: https://bit.ly/bl_live4 Artificial Intelligence: https://bit.ly/ai_live3 pixeltests course,pixeltests students,pixeltests webinar,blockchain course,web 3.0 course review,machine learning course,machine learning course review,data science course,data science course review,data science placements,resume workshop,cv workshop,blockchain,curriculum vitae,cv kaise banaye,resume kaise banaye,resume format,resume writing,resume in ms word,resume for freshers,resume writing in english,machine learning cv,machine learning cv skills Facebook: https://www.facebook.com/fbpixeltests/ LinkedIn: https://www.linkedin.com/company/pixeltests/ Instagram: https://www.instagram.com/pixeltests1/ Twitter: https://twitter.com/thePixeltests

AI Master Class - Day 30/30 - Sanjay Kumar | Pantech solutions | Pantech.AI | Warriorsway

If You Haven't Register for this A.I Event till now, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSf94zf30YlapbIiG0wvi4c743qpij26Vjr0BcESawLzO8JT7A/viewform?usp=sf_link Enroll now for Internship on A.I + Python+BCI: 🔥 https://rzp.io/l/aiv6combo International Payment :https://buy.stripe.com/9AQaGY6b35CogrSeW4 ------------------------------------------------------------------------- Connect with Your Speaker: https://www.linkedin.com/in/sanjay-kumar-a-p-4447801a5/ -------------------------------------------------------------------------- 🎥Event Venue: Youtube 📅Event Date : 23rd January - 25th February ⏰Event Timing : 7.00 P.M - 8.00 P.M What you will Learn on This 30 Days Master Class Series: ✅DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow) ✅DAY – 2 How to install Python & Libraries | Basics of python Programming for AI. ✅DAY – 3 Introduction to Computer Vision| How to install computer vision libraries ✅DAY – 4 Moving Object Detection and tracking using OpenCV ✅DAY – 5 Face Detection and Tracking using OpenCV ✅DAY – 6 Object Tracking based on color using OpenCV ✅DAY – 7 Face Recognition using OpenCV ✅DAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCV ✅DAY – 9 Introduction to Deep learning | How to install DL libraries ✅DAY – 10 Designing your First Neural Network ✅DAY – 11 Object recognition from Pre-trained model ✅DAY – 12 Image classification using Convolutional Neural Network ✅DAY – 13 Hand gesture recognition using Deep Learning ✅DAY – 14 Leaf disease detection using Deep Learning ✅DAY – 15 Character recognition using Convolutional Neural Network ✅DAY – 16 Label reading using Optical Character recognition ✅DAY – 17 Smart Attendance system using Deep Learning ✅DAY – 18 Vehicle detection using Deep Learning ✅DAY – 19 License plate recognition using Deep Learning ✅DAY – 20 Drowsiness detection using Deep Learning ✅DAY – 21 Road sign recognition using Deep Learning ✅DAY – 22 Introduction to Machine learning| How to install ML libraries ✅DAY – 23 Evaluating and Deploying the various ML model ✅DAY – 24 Fake news detection using ML ✅DAY – 25 AI snake game design using ML ✅DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK ✅DAY – 27 Title Formation from the paragraph design using NLP ✅DAY – 28 Speech emotion analysis using NLP ✅DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga ✅DAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano -------------------------------------------------------------------------- 👨‍👩‍👦‍👦Community: 📭Join in Telegram: https://telegram.me/+rVQjE02xUPthMjU1 📟Pantech Solutions Youtube Channel: https://www.youtube.com/user/pantechsolutions -------------------------------------------------------------------------- Happy Learning M.K Jeevarajan DIRECTOR PANTECH PROLABS INDIA #Artificialintelligence #Machinelearning #Deeplearning #computervision #NLP #Chatbot #Cloud #Hardware #pantechsolutions #pantechai #warriorsway

Real Time Machine Learning with Cloud Dataflow and Vertex AI GSP275

Overview In this lab you implement a real-time, streaming, machine learning (ML) pipeline that uses Cloud Dataflow and Vertex AI. Dataflow is a managed service for executing a wide variety of data processing patterns. Vertex AI is a unified ML platform used to build, deploy, and scale ML models with pre-trained and custom tooling within a unified artificial intelligence platform. The historical dataset this lab uses is from the US Bureau of Transport Statistics website and provides historic information about internal flights in the United States. This lab uses a set of code samples and scripts developed for the Data Science on Google Cloud Platform, 2nd Edition from O'Reilly Media, Inc. Objectives - Configure and execute a real time flight event simulation in Python - Configure and deploy a streaming Google Cloud Dataflow job to provide real-time flight delay predictions #gcp #googlecloud #qwiklabs #learntoearn

Microsoft: ChatGPT For Free, For Everyone - Try It Now!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/IfoShVN Join the waitlist for the new Bing here: https://ift.tt/6gmwMc7 Or try ChatGPT here: https://ift.tt/bsKL3Ek Our Separable Subsurface Scattering paper: https://ift.tt/VGRIpHk How to use ChatGPT in Bing: https://ift.tt/h8iaw49 Prompt injection: https://ift.tt/vTGbdWz Google’s Bard: https://ift.tt/a0R3Wq9 No cover letter: https://ift.tt/isfPG1u 100 million users: https://ift.tt/UDHmwcj My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/9eRE1P4 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/IMj5vhi Thumbnail background image credit: https://ift.tt/Qm8T3CV Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/3crZ2hy #ChatGPT

Tutorial 1C Conversational Recommender System Using Deep Reinforcement Learning

RecSys 2022 Tutorial presented by Omprakash Sonie (DeepThinking.AI, India) Deep Reinforcement Learning (DRL) uses the best of both Reinforcement Learning and Deep Learning for solving problems which can not be addressed by them individually. Deep Reinforcement Learning has been used widely for games, robotics etc. Limited work has been done for applying DRL for Conversational Recommender System (CRS). Hence, this tutorial covers the application of DRL for CRS. We give conceptual introduction to Reinforcement Learning and Deep Reinforcement Learning and cover Deep Q-Network, Dyna, REINFORCE and Actor Critic methods. We then cover various real life case studies with increasing complexity starting from CRS, deep CRS, adaptivity, topic guided CRS, deep and large scale CRSs.

Learn Python for AI in 7 Days: Revision of Fundamentals

3 secrets to securing a high paying Blockchain and Artificial Intelligence job with resume mastery! Pixeltests is an Edtech aimed at upskilling professionals into Web 3.0, Blockchain, Artificial Intelligence, Machine Learning, etc. This is the first lecture for the paid community. We meet weekly live for Q&A, doubts! If you want to know more about the community, please join free live 2 hour webinar! Blockchain: https://bit.ly/bl_live4 Artificial Intelligence: https://bit.ly/ai_live3 pixeltests course,pixeltests students,pixeltests webinar,blockchain course,web 3.0 course review,machine learning course,machine learning course review,data science course,data science course review,data science placements,resume workshop,cv workshop,blockchain,curriculum vitae,cv kaise banaye,resume kaise banaye,resume format,resume writing,resume in ms word,resume for freshers,resume writing in english,machine learning cv,machine learning cv skills Facebook: https://www.facebook.com/fbpixeltests/ LinkedIn: https://www.linkedin.com/company/pixeltests/ Instagram: https://www.instagram.com/pixeltests1/ Twitter: https://twitter.com/thePixeltests

Ai-Da | The world’s first ultra-realistic humanoid robot artist.

#aida #painter #humanoid #robot Courtesy: @ai-darobot9732 @aljazeeraenglish Read the full article here: https://axisairesearch.blogspot.com/2023/02/ai-da-worlds-first-ultra-realistic.html Ai-Da is the world's first robot art system to be embodied as a humanoid robot. Ai-Da is a robot incorporating algorithms from Computer Graphics and artificial intelligence that makes drawings, painting, and sculptures. The robot gained international attention when it demonstrated a capacity to draw people from sight with a pencil using its robot arm and cameras in its eyes. Ai-Da was able to creatively devise drawings, using AI and graphics algorithms for drawing and painting. Algorithms for collaborative sculpture were subsequently added. Ai-Da at a solo show called Ai-Da: Portrait of a Robot at the Design Museum in London, including self portraits, an apparent paradox given a robot has no self. This raised questions about identity in the digital age, and the role of our digital double as we engage with technology. Ai-Da was the first humanoid robot used to design a font at the Design Museum. Ai-Da used an embedded language model to generate and then recite poetry at the Ashmolean Museum, Oxford. There were two public performances, as part of the Dante: the invention of Celebrity at the Ashmolean Museum in Oxford. Keywords: aida robot | aida robot artist | aida robot parliament | aida robot house of lords | aida robot painter | aida robot queen | aida robot painting | aida robot interview | aida robot art | robotul aida | aida robot painter | aida robot painting | robot painter | robot painter fail | robot painter for sale | painter robot boy | painter robot boy cartoon | painter robot boy suit on | robot nail painter | robot substance painter | alabama robot painter | robot nail painter target | humanoid robot | humanoid robot 2022 | humanoid robot sophia | humanoid robot making | humanoid robot project | humanoid robot arduino | humanoid robot 2021 | humanoid robot movie | humanoid robot ameca | humanoid robot tesla | robot | robotics | engineering | artificial Intelligence | artificial Intelligence class 9 | artificial Intelligence tutorial | artificial Intelligence in hindi | artificial Intelligence and data science engineering | artificial Intelligence and machine learning | artificial Intelligence in Tamil | artificial Intelligence full course | artificial Intelligence in telugu | artificial Intelligence playlist | machine learning tutorial | machine learning course | machine learning projects | machine learning python | machine learning full course | machine learning in hindi | machine learning playlist | machine learning interview questions | machine learning code with harry | machine learning roadmap | deep learning tutorial | deep learning krish naik | Deep learning projects | deep learning full course | deep learning in hindi | deep learning andrew ng | Deep learning course | deep learning ai | deep learning mit | deep learning interview questions | robotics engineering | robotics kanti | robotics project | robotics dance | robotics course | robotics and automation engineering | robotics movie | computer vision | computer vision tutorial | computer vision project | computer vision syndrome | computer vision course | computer vision in artificial Intelligence in hindi| computer vision nptel | computer vision and image processing | computer vision python | computer vision interview questions | computer vision in hindi | ai news anchor | ai news hindi | ai news daily | ai news 2022 | ai news today | ai news app | ai news 2021 | ai news stories | ai news presenter | ai news anchor korean | ai research | ai research scientist | ai research super cluster | ai research paper | ai research topics | ai research 2021 | ai research | ibm research ai | meta ai research | google ai research | software | software developer short film | software developer | software engineering | software testing course | software developer bgm | software developer kese bane | software testing | software subramanian | software full movie in telugu | technology | technology ai news | ai technology in future | ai technology 2021 | ai technology 2022 | ai technology in telugu | ai technology scary | ai technology in telugu | ai technology elon musk | ai technology documentary | engineering | technology | latest technology |

How to use chatgpt | chat gpt tutorial 🔥

WE HAVE EXPLAINED " HOW TO USE CHAT GPT " WATCH THIS VIDEO TILL AND YOU'LL KNOW HOW TO GET IT ! 🔰 FOR REGULAR UPDATES FOLLOW US ON INSTAGRAM - https://instagram.com/gunpoint_techz?igshid=YmMyMTA2M2Y= 🔰 RELETED TOPICS COVERED IN THIS VIDEO ! AI language model OpenAI ChatGPT Natural language processing Artificial intelligence Deep learning Machine learning Text generation Conversational AI AI chatbot NLP technology Advancements in AI. OpenAI ChatGPT AI language model NLP Natural language processing Artificial intelligence Machine learning Deep learning Text generation Conversational AI AI chatbot AI technology Advancements in AI Future of AI. 🔰 RELETED HASTAGS #️⃣ #ChatGPT #OpenAI #LanguageModeling #AIchatbot #ArtificialIntelligence #NLP #MachineLearning #DeepLearning #AIpowered #DigitalAssistant #ConversationalAI #AItechnology

How to use chatgpt | chat gpt tutorial 🔥

WE HAVE EXPLAINED " HOW TO USE CHAT GPT " WATCH THIS VIDEO TILL AND YOU'LL KNOW HOW TO GET IT ! 🔰 FOR REGULAR UPDATES FOLLOW US ON INSTAGRAM - https://instagram.com/gunpoint_techz?igshid=YmMyMTA2M2Y= 🔰 RELETED TOPICS COVERED IN THIS VIDEO ! AI language model OpenAI ChatGPT Natural language processing Artificial intelligence Deep learning Machine learning Text generation Conversational AI AI chatbot NLP technology Advancements in AI. OpenAI ChatGPT AI language model NLP Natural language processing Artificial intelligence Machine learning Deep learning Text generation Conversational AI AI chatbot AI technology Advancements in AI Future of AI. 🔰 RELETED HASTAGS #️⃣ #ChatGPT #OpenAI #LanguageModeling #AIchatbot #ArtificialIntelligence #NLP #MachineLearning #DeepLearning #AIpowered #DigitalAssistant #ConversationalAI #AItechnology

AI Master Class - Day 18/30 - Sanjay Kumar | Pantech solutions | Pantech.AI | Warriorsway

If You Haven't Register for this A.I Event till now, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSf94zf30YlapbIiG0wvi4c743qpij26Vjr0BcESawLzO8JT7A/viewform?usp=sf_link Enroll now for Internship on A.I + Python+BCI: 🔥 https://rzp.io/l/aiv6combo International Payment :https://buy.stripe.com/9AQaGY6b35CogrSeW4 ------------------------------------------------------------------------- Connect with Your Speaker: https://www.linkedin.com/in/sanjay-kumar-a-p-4447801a5/ -------------------------------------------------------------------------- 🎥Event Venue: Youtube 📅Event Date : 23rd January - 25th February ⏰Event Timing : 7.00 P.M - 8.00 P.M What you will Learn on This 30 Days Master Class Series: ✅DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow) ✅DAY – 2 How to install Python & Libraries | Basics of python Programming for AI. ✅DAY – 3 Introduction to Computer Vision| How to install computer vision libraries ✅DAY – 4 Moving Object Detection and tracking using OpenCV ✅DAY – 5 Face Detection and Tracking using OpenCV ✅DAY – 6 Object Tracking based on color using OpenCV ✅DAY – 7 Face Recognition using OpenCV ✅DAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCV ✅DAY – 9 Introduction to Deep learning | How to install DL libraries ✅DAY – 10 Designing your First Neural Network ✅DAY – 11 Object recognition from Pre-trained model ✅DAY – 12 Image classification using Convolutional Neural Network ✅DAY – 13 Hand gesture recognition using Deep Learning ✅DAY – 14 Leaf disease detection using Deep Learning ✅DAY – 15 Character recognition using Convolutional Neural Network ✅DAY – 16 Label reading using Optical Character recognition ✅DAY – 17 Smart Attendance system using Deep Learning ✅DAY – 18 Vehicle detection using Deep Learning ✅DAY – 19 License plate recognition using Deep Learning ✅DAY – 20 Drowsiness detection using Deep Learning ✅DAY – 21 Road sign recognition using Deep Learning ✅DAY – 22 Introduction to Machine learning| How to install ML libraries ✅DAY – 23 Evaluating and Deploying the various ML model ✅DAY – 24 Fake news detection using ML ✅DAY – 25 AI snake game design using ML ✅DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK ✅DAY – 27 Title Formation from the paragraph design using NLP ✅DAY – 28 Speech emotion analysis using NLP ✅DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga ✅DAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano -------------------------------------------------------------------------- 👨‍👩‍👦‍👦Community: 📭Join in Telegram: https://telegram.me/+rVQjE02xUPthMjU1 📟Pantech Solutions Youtube Channel: https://www.youtube.com/user/pantechsolutions -------------------------------------------------------------------------- Happy Learning M.K Jeevarajan DIRECTOR PANTECH PROLABS INDIA #Artificialintelligence #Machinelearning #Deeplearning #computervision #NLP #Chatbot #Cloud #Hardware #pantechsolutions #pantechai #warriorsway

Create chatGPT using python | chatGPT | openai project | AI python project | Artificial Intelligence

In this tutorial, we'll be learning how to create a chatGPT program using Python. ChatGPT is a program that allows you to create and manage chat groups with users. This AI python project is open source and can be found on the openai project website. ChatGPT is a powerful tool that can be used for a variety of purposes, such as customer support, marketing, and more. By the end of this tutorial, you'll be able to create and manage chat groups using Python! DOWNLOAD THE CODE USING THIS LINK: https://icedrive.net/s/79jzSAiVv7WtC5vSft8CjuVVRYGT FOLLOW ON INSTAGRAM mini-py-projects #openai #AI #MachineLearning #DeepLearning #NeuralNetworks #AIProgramming #AIAlgorithms #AIProjects #AIYoutubeTutorial #AIEngineering #AIImplementation #AITechnology #AIInnovations #A IApplications #AIDevelopment #AIArchitecture #AIStrategies #AISolutions #AIAdvances #AIAdvancing #AIAdvancements

Google’s New AI: The Age of AI-Made Movies Is Here!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/gHJprmC 📝 The paper "Phenaki - Realistic video generation from open-domain textual descriptions" is available here: https://ift.tt/Gg4czQm My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/yhI1o5A 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/rM0K3lD Thumbnail background image credit: https://ift.tt/O4nJx0I Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/ZsuX2CL

Create chatGPT using python | chatGPT | openai project | AI python project | Artificial Intelligence

In this tutorial, we'll be learning how to create a chatGPT program using Python. ChatGPT is a program that allows you to create and manage chat groups with users. This AI python project is open source and can be found on the openai project website. ChatGPT is a powerful tool that can be used for a variety of purposes, such as customer support, marketing, and more. By the end of this tutorial, you'll be able to create and manage chat groups using Python! DOWNLOAD THE CODE USING THIS LINK: https://icedrive.net/s/79jzSAiVv7WtC5vSft8CjuVVRYGT FOLLOW ON INSTAGRAM mini-py-projects #openai #AI #MachineLearning #DeepLearning #NeuralNetworks #AIProgramming #AIAlgorithms #AIProjects #AIYoutubeTutorial #AIEngineering #AIImplementation #AITechnology #AIInnovations #A IApplications #AIDevelopment #AIArchitecture #AIStrategies #AISolutions #AIAdvances #AIAdvancing #AIAdvancements

Tutorial BÁSICO de ChatGPT 📕🤖 #TutorialChatGPT #ChatGPT #InteligenciaArtificial #AI #MachineLearning

Tutorial BÁSICO de ChatGPT 📕🤖#TutorialChatGPT #ChatGPT #InteligenciaArtificial #AI #MachineLearning #AprendeAI #LenguajeArtificial #IAenEspañol #DeepLearning #Tecnología #NuevasTecnologías #EspañolAI 0:00 Tutorial ChatGPT 1 Selecciona una aplicación o un servicio que utilice ChatGPT. Hay varios servicios en línea que te permiten interactuar con ChatGPT a través de una interfaz web o de una API. 2 Haz una pregunta o proporciona una entrada en forma de texto. Es importante que la entrada sea clara y concisa para obtener una respuesta precisa. 3 Espera a la respuesta de ChatGPT. Dependiendo del servicio o la aplicación que estés usando, la respuesta puede tardar unos segundos o más en llegar. 4 Revisa la respuesta generada por ChatGPT. Verifica si la respuesta es coherente y significativa en relación a tu entrada. ¡Guárdate este Vídeo Para Usar ChatGPT like a PRO!

Tutorial BÁSICO de ChatGPT 📕🤖 #TutorialChatGPT #ChatGPT #InteligenciaArtificial #AI #MachineLearning

Tutorial BÁSICO de ChatGPT 📕🤖#TutorialChatGPT #ChatGPT #InteligenciaArtificial #AI #MachineLearning #AprendeAI #LenguajeArtificial #IAenEspañol #DeepLearning #Tecnología #NuevasTecnologías #EspañolAI 0:00 Tutorial ChatGPT 1 Selecciona una aplicación o un servicio que utilice ChatGPT. Hay varios servicios en línea que te permiten interactuar con ChatGPT a través de una interfaz web o de una API. 2 Haz una pregunta o proporciona una entrada en forma de texto. Es importante que la entrada sea clara y concisa para obtener una respuesta precisa. 3 Espera a la respuesta de ChatGPT. Dependiendo del servicio o la aplicación que estés usando, la respuesta puede tardar unos segundos o más en llegar. 4 Revisa la respuesta generada por ChatGPT. Verifica si la respuesta es coherente y significativa en relación a tu entrada. ¡Guárdate este Vídeo Para Usar ChatGPT like a PRO!

ChatGPT Tutorial - A Crash Course on Chat GPT for Beginners Part 3

OpenAI Natural language processing (NLP) Artificial intelligence (AI) Deep learning Language models Generative models Machine learning Conversational AI Chatbots This ChatGPT Tutorial is a Crash Course on Chat GPT for Beginners. With the increase in popularity, ChatGPT is still unknown to many people. In this video, I will provide a crash course on different ways to use ChatGPT. This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!

comparison, logic and membership operator in python for absolute beginners #pythonoperators #ai

"Discover the power of comparison, logic, and membership operators in Python with this comprehensive video tutorial. You'll learn how to compare values, make decisions, and test for the presence of values in data structures. We'll cover the various operators such as equal to, less than, greater than, and not equal to, as well as the and, or, and not operators. You'll also learn how to use membership operators to check if a value is in a list or a string. This video is a must-watch for anyone who wants to improve their programming skills in Python." #pythontutorial #membershipOerators #dataanalytics #ai #machinelearning #datascience #codinginpython #learningpython #pythonprogramming