Generative AI from Scratch using JavaScript - Start Now | Free Preview for Beginners | Hindi

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Timestamps:
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00:00 - Welcome to the course
04:02 - Course structure & overview
15:07 - Course Tech Stack

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CHAPTER 1: Foundation of Generative AI & LLM
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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

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CHAPTER 2: Prompt engineering
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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

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CHAPTER 3: Working with LLMs
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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

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PROJECT 1: Build your first chatbot (ChatGPT clone)
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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

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CHAPTER 4: Retrieval Augmented Generation (RAG)
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6:41:49 - 1. Introduction to RAG
6:59:09 - 2. Vector embeddings and vector store

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PROJECT 2: Company internal chatbot using RAG
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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

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