AI Engineering Repository

A comprehensive collection of AI - LLM, Agents, Machine Learning, Deep Learning topics and projects covering transformer training, retrieval-augmented generation (RAG), and practical AI applications and many more.

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📂 Repository Structure

📚 Topics

Hands-on implementations and tutorials for various LLM techniques:

1. RAG

• Retrieval-Augmented Generation course from CodeCamp

2. Agents

• AI agents startercourse

3.Computer Vision

• Hugging Face computer vision course

4.Langchain

• LangChain course by Aurelio AI!
• LangChain Crash course by AIB

5.Prompt_Engineeringn

• Prompt Engineering notes

6.Vector_Databases

• Chroma DB Tutorial

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🚀 Projects

1. AI-Flashcard

• Smart flashcard generator from YouTube videos and web articles
• Automatic transcript extraction and content processing
• AI-powered question/answer generation using Mistral 7B (Ollama)
• Interactive web UI with flip animations
• Flask backend with RESTful API

2. GatsbyVectorDB

• Vector database implementation using The Great Gatsby novel
• Semantic search using SentenceTransformers embeddings
• ChromaDB persistent storage and querying
• Complete Jupyter notebook tutorial

3. PreTraining

• Full transformer pre-training from scratch
• Complete training pipeline implementation

4. RAG-Document-Chat

• Document-based RAG system
• Multiple retrieval methods (Basic, MMR, Re Ranking)
• ChromaDB vector storage

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📝 Notes

• Cheatsheets and Course Notes

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