This video is your gateway to understanding Generative AI. We explain what Generative AI is, how it works, and what its benefits are, along with ethical considerations. Explore Large Language Models like GPT and get started with prompting techniques to create your own LLM Android app. Discover the best AI tools like ChatGPT and GitHub Copilot. Learn advanced concepts like Langchain and RAG. With demos and case studies, this video will give you the skills to build cutting-edge AI applications. Watch now and advance your AI journey!

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Topics covered:
00:00:00 Introduction
00:01:39 Introduction to Generative AI
00:10:51 Benefits of Generative AI
00:12:12 The Future of Generative AI
00:13:22 Ethical Considerations in Generative AI
00:15:09 Introduction and stages to LLMs
00:27:57 Introduction to OpenAPI GPT API
00:36:22 Claude 3.5 Sonnet
00:52:58 Claude Artifacts
00:53:52 Demo on Claude Artifacts
01:00:12 Usage examples by Claude
01:02:25 Demo on Claude Sonnet
01:18:18 GPT 4o Mini and used
01:20:26 Why GPT 4o Mini
01:21:39 Features of GPT 4o Mini
01:22:45 Difference between GPT 4o and GPT 4o Mini
01:24:26 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
01:29:06 Questions about Playground and Billing Settings
01:31:22 Google Gemini Version
01:38:10 General Prompt Demo Google AI Studio
01:40:33 Structured prompt in Google AI Studio
01:46:01 Model tuning in Google AI Studio using system example
01:48:28 Other Data Import Options in Google AI Studio Using System Sample
01:51:30 Email Generator App Summary
01:51:55 Software requirements for app
01:54:15 Implementation of the app
02:03:43 Run the app
02:06:28 Generative AI Popular Tools
02:06:57 ChatGPT
02:07:13 Github Copilot
02:07:26 Claude
02:07:41 Gemini
02:08:27 Basics of Rapid Engineering
02:30:02 ChatGPT Basics
02:31:06 Prompt demonstration on ChatGPT
02:34:37 Python app using ChatGPT 4o
02:41:59 Using ChatGPT 4o for statistical analysis
02:49:08 Demonstration of Prompt using ChatGPT 4-o
02:51:12 Execution of the portfolio website code
02:25:27 Introduction to Github and Github Copilot
03:08:47 Hands-on session on Github Copilot
03:41:34 Introducing Claude
03:53:24 Fast engineering and installation Claude
04:05:03 Practical Claude
04:19:13 Program for tic-tac-toe game using Claude
04:21:10 Claude 2 API
04:28:37 Integration of Python and Gemini 1.5 pro
04:35:20 Chatbot with Gemini 1.5 pro
04:53:12 Generative AI Applications
05:06:33 Flask ChatGPT App
05:25:30 Flask Text to Image App
05:27:36 Demo – Flask Text to Image App
05:36:24 Introduction to Langchain
05:40:18 Why LangChain?
05:45:30 Setting up LangChain development environment
05:47:04 Library installation demo
05:49:29 LangChain Core Concepts
05:54:22 LangChain Components
06:00:23 LangChain Case Study
06:09:12 Limitations of LLMs
06:11:04 Introduction to RAG
06:18:08 RAG Basic Concepts and Terminology
06:29:41 Key Components of RAG – Retrieval and Generation
06:38:11 RAG Workflow and Applications
07:04:17 Hallucinations in RAG
07:12:25 Steps to Implement RAG with LangChain
07:25:40 Practical RAG in detail

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