Generative AI Mastery Full Course - Part 2 скачать в хорошем качестве

Generative AI Mastery Full Course - Part 2

Discover the limitless possibilities of Generative AI with our in-depth course, "Generative AI Mastery" This expertly designed program takes you on a journey from foundational principles to advanced techniques, offering a hands-on experience that equips you with the skills needed to excel in the world of Generative AI. Starting with the basics, the course introduces core concepts, ensuring that even those with limited AI knowledge can quickly grasp the fundamentals. As you progress, you’ll delve into more complex topics, focusing on how to build, deploy, and optimize cutting-edge AI models. Using industry-leading tools such as Langchain, LlamaIndex,Chainlit,OpenAI, Vector Databases, LLMs, and Huggingface, you'll learn to create robust AI solutions that can be applied to real-world scenarios. 📌Course Resources: https://github.com/entbappy/Generativ... 📌Generative AI Mastery Full Course:    • Generative AI Mastery Full Course   Contents of this video 00:00:00 - Project: Interview Questions Creator Application 00:57:26 - Project: Custom Website Chatbot 01:14:21 - Introduction to Open Source LLMs - Llama 01:48:38 - How to use open source llms with Langchain 02:09:59 - Custom Website Chatbot using Open source LLMs 02:40:41 - Open Source LLMs - Falcon 02:57:10 - Introduction & Importance of RAG 03:02:40 - RAG Practical demo 03:13:10 - RAG Vs Fine-tuning 03:16:30 - Build a Q&A App with RAG using Gemini Pro and Langchain 03:25:34 - What is Fine Tuning? Parameter Efficient Fine-Tuning - LoRA & QLoRA 03:36:25 - Fine-Tuning Meta Llama 2 on Custom Data 03:56:55 - Introduction to LlamaIndex & end to end Demo 04:25:40 - Open Source Mistral LLM with LlamaIndex 04:37:56 - Project: Financial Stock Analysis using LlamaIndex 04:51:51 - Project: End to End Medical Chatbot with LLM, Pinecone, LangChain 06:02:38 - Project: End to End Source Code Analysis with LangChain, LLM and ChromaDB 06:34:31 - Project: Implementing Zomato chatbot with Chainlit 07:08:07 - How to Deploy Generative AI Application as CICD on AWS 07:38:32 - Introduction to LLMOps & Why we need it? 08:03:06 - Generative AI with Google Cloud (Vertex AI) a LLMOps Platform 08:17:37 - Vertex AI Hands-On on Google Cloud 08:41:36 - Vertex AI Local Setup - Run Gemini Pro on Local Machine 08:52:59 - RAG on Vertex AI with Vector Search and Gemini Pro 09:09:06 - LLM powered application on Vertex AI 09:12:57 - Fine-tuning Foundation Model on VertexAI 09:25:51 - Introduction to AWS Bedrock 09:31:25 - Hands-on AWS Bedrock 09:42:51 - End to End RAG Project using AWS Bedrock Check out my other playlists: ► MLOps Production Ready Machine Learning Project:    • MLOps Production Ready Machine Learni...   ► End To End Data Science Projects Implementation:    • End To End Data Science Projects Impl...   ► MLflow For Data Science | MLOps:    • MLflow For Data Science | MLOps   ► The Complete Self Driving Car Course:    • The Complete Self Driving Car Course ...   ► Object Detection Using YOLO v6:    • YOLO v6 | Object Detection   ► Object Detection Using YOLO v7:    • YOLO v7 | Object Detection   ► Sign Language Detection Using YOLO v5:    • Sign Language Detection Using YOLO v5...   ►ONNX (Open Neural Network Exchange):    • ONNX (Open Neural Network Exchange)   😀Please donate if you want to support the channel through Buy me a coffee: https://www.buymeacoffee.com/dswithbappy Thanks! #dswithbappy Connect with me here: Twitter:   / bappy913873   Facebook:   / dswithbappy   instagram:   / entbappy   linkedin :   / boktiarahmed73   Github: https://github.com/entbappy 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL