What is Generative AI and How to Use AI

Explore the world of Generative AI in this insightful tutorial! Learn about text-to-image tools and their versatile applications in content creation, branding, marketing, advertising, and education. Discover text-to-video capabilities for blogs, product demos, explainer videos, listicles, and short-form content. Unleash the creative potential of AI for diverse purposes! 🌍 Get unlimited training with Simon Sez IT’s 200+ courses ⏩ https://www.simonsezit.com/courses/ 🚀 Level up your skills with a free 30-day trial to our complete training library of 10,000+ videos ⏩ https://www.simonsezit.com/ssit-first-month-free 💻 Watch more free popular training tutorials from Simon Sez IT: 🔥Check out our FREE 400+ hour training course playlist here ➡️ https://www.youtube.com/playlist?list=PLzj7TwUeMQ3hsADWJd2sJh4o8jATTyaRU ✅ Check out our free AI training for beginner course 👉 https://www.youtube.com/playlist?list=PLzj7TwUeMQ3j4urY47x-xAEJzvSxWKaD1 ✅ Microsoft Excel Beginner's Training here 👉 https://www.youtube.com/playlist?list=PLzj7TwUeMQ3iZHn4cv_fZagWSN8tubU9Z ✅ Data Analysis using Microsoft Tools here 👉 https://www.youtube.com/playlist?list=PLzj7TwUeMQ3jiDSWwQjtVvHqT09XdYFMi ✅Alteryx Tutorials for Beginners video playlist 👉 https://www.youtube.com/playlist?list=PLzj7TwUeMQ3i5rckX7jxILSruhnToGIIO 💬Stay in touch! SimonSezIT.com: https://www.SimonSezIT.com/ LinkedIn: https://www.linkedin.com/company/simon-sez-it/ FaceBook: https://www.facebook.com/SimonSezIT 🔔 Subscribe to our channel: https://www.youtube.com/simonsezittraining?sub_confirmation=1 If you enjoyed the video, please give a thumbs up 👍🏽 ;-)

Top 5 Gen AI Courses You Should Watch (In 1 Min)

In this Video, we will talk about top 5 free Generative AI courses from industry giants like Google, Microsoft, IBM, Amazon, and DeepLearning AI. Gain essential skills in prompt design, responsible AI, LLM applications, NLP, and more. Plus, access hands-on learning with AWS Skill Builder and self-paced courses by Cohere and Nvidia. Check out the pinned comment for links and stay updated for more AI tips and tricks! ----------------------- Course Links 🔥 ----------------------- Google 🔗 https://www.cloudskillsboost.google/paths/118 Microsoft 🔗 https://microsoft.github.io/generative-ai-for-beginners/ IBM 🔗 https://skillsbuild.org/adult-learners/explore-learning/artificial-intelligence Amazon 🔗 https://aws.amazon.com/training/learn-about/machine-learning/ DeepLearning AI 🔗 https://www.deeplearning.ai/short-courses/ Nvidia 🔗 https://www.nvidia.com/en-in/training/online/ Cohere 🔗 https://docs.cohere.com/docs/llmu Subscribe to Analytics Vidhya for more!! #ai #course #generativeai #microsoft #deeplearning #genai

What is Word Embedding | Generative AI Tutorial for Beginner|ChatGPT Tutorial [Updated 2024]-igmGuru

To Know More, Visit: https://www.igmguru.com/machine-learning-ai/generative-ai-training/ Word embedding in generative AI refers to the process of representing words as dense vectors in a continuous vector space. These vectors capture semantic relationships between words, allowing algorithms to understand the meaning and context of words within a corpus of text. Generative AI models, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), or transformers, often employ word embeddings as part of their architecture. These embeddings serve as the input representation for the model, allowing it to process and generate text data more effectively. Popular word embedding techniques include Word2Vec, GloVe (Global Vectors for Word Representation), and FastText. These methods learn embeddings by considering the co-occurrence statistics of words in a large corpus of text data. The resulting embeddings encode semantic similarities between words, enabling generative AI models to produce more coherent and contextually relevant outputs.

What is Word Embedding | Generative AI Tutorial for Beginner|ChatGPT Tutorial [Updated 2024]-igmGuru

To Know More, Visit: https://www.igmguru.com/machine-learning-ai/generative-ai-training/ Word embedding in generative AI refers to the process of representing words as dense vectors in a continuous vector space. These vectors capture semantic relationships between words, allowing algorithms to understand the meaning and context of words within a corpus of text. Generative AI models, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), or transformers, often employ word embeddings as part of their architecture. These embeddings serve as the input representation for the model, allowing it to process and generate text data more effectively. Popular word embedding techniques include Word2Vec, GloVe (Global Vectors for Word Representation), and FastText. These methods learn embeddings by considering the co-occurrence statistics of words in a large corpus of text data. The resulting embeddings encode semantic similarities between words, enabling generative AI models to produce more coherent and contextually relevant outputs.

What is LangChain Agent with Example | Langchain GEN AI Tutorial for Beginners Part 3 |Crash Course

In this tutorial, we will see the LangChain Agent LangChain Agent with the help of LLM interact with other tools to perform sequence of actions. There are three stage of LangChain Agent Execution: Action Observation Thought LangChain, an open-source framework, empowers software developers in the field of artificial intelligence (AI) and its machine learning subset. It facilitates the integration of extensive language models with external components, enabling the creation of applications fueled by Large Language Models (LLMs). The objective of LangChain is to connect robust LLMs, such as OpenAI's GPT-3.5 and GPT-4, with a variety of external data sources. This connection aims to harness the capabilities of natural language processing (NLP) applications and unlock their benefits. GENERATIVE AI | LangChain, Problem with vanilla ChatGPT and how LangChain comes to the rescue. Visit Elfin Code for more detail: https://elfincode.com/index.php/python/ Timecodes 0:00 Introduction of LangChain Agent 1:30 How LangChain Agent Work 4:30 Steps to Run the LangChain Agent 5:45 Code Snippet to understand LangChain Agent implementation 8:10 Code 16:35 Sequence of events in LangChain Agent 20:31 Exit Note 1] Object Oriented Programming in Python Course https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ4FTLGl0pcguFi1_0nc82hq 2] Pandas Beginners Course https://www.youtube.com/watch?v=wVTsUmpPubQ&list=PLY6Q87jZ2FZ4mtjFTXF52L0AwnzhMs7As 3] Dictionary Datatype Beginners Course https://www.youtube.com/watch?v=MfwB5omo70w&list=PLY6Q87jZ2FZ68Q3YRSFmd9307vg4fhbks 4] List Datatype Course https://www.youtube.com/watch?v=MYxqYM6Bgw4&list=PLY6Q87jZ2FZ5REKCp7aAapjz9Y2V6KAvL 5] PySpark Course https://www.youtube.com/watch?v=Mw1GplMsAzY&list=PLY6Q87jZ2FZ4JoTwxBpAWqvOnbEETb9F1 6] Design Patterns Course https://www.youtube.com/watch?v=pHRq58HvRTc&list=PLY6Q87jZ2FZ4Uu-smu1bZQR77ih2XbVK3 7] Generative AI Course https://www.youtube.com/watch?v=KgxVj90c3gk&list=PLY6Q87jZ2FZ4WsLtaKXIqa3KitMjTbpRi 8] File Handling and Operations Course For Beginners https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ524qVgEAUZkZiCqtzYUZ4c 9] Regex Python Tutorial For Beginners https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ4hqJKWWiA3xos5d6o3JRG8 Feel free to explore these resources and learn at your own pace! If you have any specific questions or need further assistance on any of these topics, feel free to ask. #langchain #python #pythonforbeginners #elfincode #genai #generativeai #chatgpt #chatgpt4 #generativeai #genai #pythonforbeginners #pythonforeveryone #nlp #llm #openai

What is LangChain Agent with Example | Langchain GEN AI Tutorial for Beginners Part 3 |Crash Course

In this tutorial, we will see the LangChain Agent LangChain Agent with the help of LLM interact with other tools to perform sequence of actions. There are three stage of LangChain Agent Execution: Action Observation Thought LangChain, an open-source framework, empowers software developers in the field of artificial intelligence (AI) and its machine learning subset. It facilitates the integration of extensive language models with external components, enabling the creation of applications fueled by Large Language Models (LLMs). The objective of LangChain is to connect robust LLMs, such as OpenAI's GPT-3.5 and GPT-4, with a variety of external data sources. This connection aims to harness the capabilities of natural language processing (NLP) applications and unlock their benefits. GENERATIVE AI | LangChain, Problem with vanilla ChatGPT and how LangChain comes to the rescue. Visit Elfin Code for more detail: https://elfincode.com/index.php/python/ Timecodes 0:00 Introduction of LangChain Agent 1:30 How LangChain Agent Work 4:30 Steps to Run the LangChain Agent 5:45 Code Snippet to understand LangChain Agent implementation 8:10 Code 16:35 Sequence of events in LangChain Agent 20:31 Exit Note 1] Object Oriented Programming in Python Course https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ4FTLGl0pcguFi1_0nc82hq 2] Pandas Beginners Course https://www.youtube.com/watch?v=wVTsUmpPubQ&list=PLY6Q87jZ2FZ4mtjFTXF52L0AwnzhMs7As 3] Dictionary Datatype Beginners Course https://www.youtube.com/watch?v=MfwB5omo70w&list=PLY6Q87jZ2FZ68Q3YRSFmd9307vg4fhbks 4] List Datatype Course https://www.youtube.com/watch?v=MYxqYM6Bgw4&list=PLY6Q87jZ2FZ5REKCp7aAapjz9Y2V6KAvL 5] PySpark Course https://www.youtube.com/watch?v=Mw1GplMsAzY&list=PLY6Q87jZ2FZ4JoTwxBpAWqvOnbEETb9F1 6] Design Patterns Course https://www.youtube.com/watch?v=pHRq58HvRTc&list=PLY6Q87jZ2FZ4Uu-smu1bZQR77ih2XbVK3 7] Generative AI Course https://www.youtube.com/watch?v=KgxVj90c3gk&list=PLY6Q87jZ2FZ4WsLtaKXIqa3KitMjTbpRi 8] File Handling and Operations Course For Beginners https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ524qVgEAUZkZiCqtzYUZ4c 9] Regex Python Tutorial For Beginners https://www.youtube.com/playlist?list=PLY6Q87jZ2FZ4hqJKWWiA3xos5d6o3JRG8 Feel free to explore these resources and learn at your own pace! If you have any specific questions or need further assistance on any of these topics, feel free to ask. #langchain #python #pythonforbeginners #elfincode #genai #generativeai #chatgpt #chatgpt4 #generativeai #genai #pythonforbeginners #pythonforeveryone #nlp #llm #openai

Why Prompt Engineering is Important to Gen AI Tutorial for Beginner | ChatGPT [Updated 2024]-igmguru

To Know More, Visit: https://www.igmguru.com/machine-learning-ai/generative-ai-training/ Prompt engineering is crucial to the development and effectiveness of Generative AI (Gen AI) for several reasons: 1. Controlled Output: Gen AI systems generate content based on the provided prompts. Prompt engineering ensures that the prompts are well-crafted to guide the AI towards generating desired outputs. By carefully designing prompts, developers can steer the AI's creativity in specific directions, preventing it from generating inappropriate or undesirable content. 2. Bias Mitigation: Prompt engineering can help mitigate biases in AI-generated content. By crafting prompts that promote inclusivity, fairness, and accuracy, developers can influence the AI's outputs to be more balanced and representative of diverse perspectives. This is particularly important as biased or unfair outputs can perpetuate harmful stereotypes and misinformation. 3. Fine-Tuning Performance: Prompt engineering allows developers to fine-tune the performance of Gen AI models for specific tasks or applications. By experimenting with different types of prompts, variations in wording, or adjusting parameters, developers can optimize the AI's performance to achieve desired outcomes more effectively. 4. User Experience: Well-engineered prompts can enhance the user experience when interacting with Gen AI systems. Clear and concise prompts can help users articulate their needs or preferences more effectively, leading to more relevant and satisfactory AI-generated responses. 5. Ethical Considerations: Prompt engineering also plays a role in addressing ethical considerations surrounding the use of AI. By designing prompts that prioritize ethical principles such as privacy, consent, and transparency, developers can ensure that the AI operates within ethical boundaries and respects user rights and preferences. In summary, prompt engineering is essential to Gen AI because it enables developers to exert control over the AI's outputs, mitigate biases, fine-tune performance, enhance user experience, and address ethical considerations effectively. By carefully crafting prompts, developers can harness the potential of Gen AI to create positive impacts across various domains while minimizing potential risks and challenges.