LLM Ollama based CodeTutorGPT running on local Machine | Special Edition

In this special edition video, we have a new tool that I have developed using the LLM RAG model. This explains the concept of Retrieval Augmented Generation (RAG) and showcases how we consolidated metadata from our 350+ YouTube videos into a knowledge base for a locally running LLM. By using this tool, we quickly finds links to specific videos on topics like Jetpack Compose, ViewModel, and Swift without manually searching. Watch as we demonstrate the tool's capabilities, providing a seamless way to interact with his extensive video library. If you're interested in the technical implementation or more AI-related content, make sure to subscribe and stay tuned for future videos.

#LLM #GenerativeAI #ArtificialIntelligence #RAGModel #LocalLLM #CodeTutor #AItools #ChatGPT #JetpackCompose #ViewModel #Swift #Python #LangChain #MetaLLaMA #YouTubeTutorials #TechDemo #Programming #Coding #AIassistant

Chapters

00:00 - Introduction and Overview
00:37 - Explanation of Retrieval Augmented Generation (RAG)
01:57 - Addressing Common Viewer Questions with LLMs
03:10 - Demo of CodeTutor Assistant

[keshavmtech]

Very good effort Anil !!! Hope you will take it forward....wish you the very best.

[kentsolgule]

Sounds interesting how to do the embedding!

[souvikdutta]

Anil Sir Thank you for this video. Please share the technical details how you are adding the knowledge base to the model. Though it is terminal application, we can make web app using python also. We can enhance that.