Access all of the concepts and code directly YouTube to start building, shipping, and sharing with LLM Ops!
- Build complex apps with LLM Ops frameworks including LangChain and LlamaIndex.
- Understand LLM product development methods, from prompting to retrieval and beyond.
- Build, deploy, evaluate, and operate your own end-to-end production RAG system.
Note: This course was taught from August, 15, 2023 to September 7, 2023. As such, there may be aspects of the code that require updates for full functionality. Please submit pull requests directly if you find something that you can help improve!
| Session | Video Link | Code | Slides |
|---|---|---|---|
Session 1: Course Intro, Building Your First RAG App with LangChain, Chainlit, and Hugging Face  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 2: Taking RAG to the Next Level with LangChain Agents  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 3: Building a More Robust RAG System with LlamaIndex Data Agents  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 4: Project Ideation, Chainlit, and Fine-Tuning of an E2E RAG App with LlamaIndex  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 5: Building a Production-Grade Open-Source RAG System with Llama 2, FastAPI, and Chainlit  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 6: Scalable Llama 2 Endpoints for RAG, Evaluation with RAGAS and Eluether AI Harness  |
🎥 Video | 🐙 Repo | 💻 Slides |
Session 7: Visibility and Observability Tooling for LLM Ops, WandB and LangSmith  |
🎥 Video | 🐙 Repo | 💻 Slides |