🚀 About This Project
A comprehensive collection of 30+ hands-on Jupyter Notebook tutorials covering everything from basic LLM concepts to advanced AI agents. All notebooks are ready to run in Google Colab.
🎯 What You'll Learn
- 🧠 Core Concepts: Embeddings, Vector Stores, Prompt Engineering
- 🔗 LangChain Mastery: Chains, Agents, Memory, and Tools
- 🤖 AI Applications: Chatbots, Q&A Systems, Content Generation
- 🛠️ Advanced Techniques: RAG, Function Calling, Multi-Agent Systems
- 🔬 Specialized Use Cases: Speech Recognition, Image Generation, Research Agents
⚡ Tech Stack
- Python 3.8+ — Core programming language
- Jupyter Notebooks — Interactive development
- LangChain — LLM application framework
- OpenAI API — GPT models
- HuggingFace — Open source models
- Google Colab — Free GPU runtime
🎓 Who Is This For?
Perfect for developers who want to go from LLM beginner to expert with practical, hands-on examples. Each notebook is self-contained and can be run instantly in Google Colab.