Learn GenAI with Javascript from scratch | Free Preview for Beginners | Hindi

🌟 Unlock full premium GenAI course: https://codersgyan.com/courses/genai?... Or even better: 🎉 Get all current & future course access: https://codersgyan.com/membership?cou... Register for Senior Dev Blueprint Masterclass: https://learn.codersgyan.com/live-eve... Timestamps: -------------- 00:00 - Welcome to the course 04:02 - Course structure & overview 15:07 - Course Tech Stack ------------------------------------------------------------- CHAPTER 1: Foundation of Generative AI & LLM ------------------------------------------------------------- 17:01 - 1. What is Generative AI 20:04 - 2. Introduction to LLM 29:50 - 3. LLM Models and their capabilities 43:56 - 4. Token, context, context-window & inference ------------------------------------------------------------- CHAPTER 2: Prompt engineering ------------------------------------------------------------- 1:04:35 - 1. Prompt engineering overview 1:12:00 - 2. Zero-shot prompting 1:20:15 - 3. Few-shot prompting 1:24:36 - 4. Chain-of-thought prompting (cot) 1:32:02 - 5. Prompt engineering best practices ------------------------------------------------------------- CHAPTER 3: Working with LLMs ------------------------------------------------------------- 1:44:29 - 1. Invoking LLMs 2:07:11 - 2. System prompt 2:11:01 - 3. Prompt message structure 2:15:26 - 4. LLM settings 2:34:02 - 5. Structured output 3:06:25 - 6. Introduction to tool calling 3:21:22 - 7. Tool calling practical: setup 3:54:32 - 8. Tool calling: Implementing the tool ------------------------------------------------------------- PROJECT 1: Build your first chatbot (ChatGPT clone) ------------------------------------------------------------- 4:28:59 - 1. Chatbot UI 5:13:27 - 2. Chatbot server 5:28:47 - 3. Integrate the server with the UI 5:41:08 - 4. Improve prompt: Few-shot prompting 5:49:51 - 5. Adding loading state 5:59:23 - 6. Adding memory to Chatbot 6:33:37 - 7. Preventing infinite loops ------------------------------------------------------------- CHAPTER 4: Retrieval Augmented Generation (RAG) ------------------------------------------------------------- 6:41:49 - 1. Introduction to RAG 6:59:09 - 2. Vector embeddings and vector store ------------------------------------------------------------- PROJECT 2: Company internal chatbot using RAG ------------------------------------------------------------- 7:38:30 - 1. Basic setup 7:53:29 - 2. Load the document 8:10:18 - 3. Chunk the document 8:24:02 - 4. Generate vector embeddings and Indexing 9:06:15 - 5. Retrieval and final test 9:41:52 - Ending & outro Download video kit / Source code: https://codersgyan.com/video-kit/13qP... Follow me 💛: LinkedIn:   / codersgyan   X: https://x.com/codersGyan 🤖 Discord Community:   / discord