LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI bot that can answer questions about your knowledge base.
- Register in DataTalks.Club's Slack
- Join the
#course-llm-zoomcampchannel - Join the course Telegram channel with announcements
- The videos are published on DataTalks.Club's YouTube channel in the course playlist
- Frequently asked technical questions
- Course Calendar
- Materials specific to 2024 cohort
We will cover topics like LLMs and RAG.
Start date: June 17
Give us a star to support the initiative!
Pre-requisites:
- Comfortable with programming and Python
- Comfortable with command line
- Docker
- No previous exposure to AI or ML is required
Introduction
- build a simple Q&A system
- Video: https://www.youtube.com/watch?v=q-p36Ak6YI8
- Code: https://github.com/alexeygrigorev/llm-rag-workshop
Implement a search engine
- Video: https://www.youtube.com/watch?v=nMrGK5QgPVE
- Code: https://github.com/alexeygrigorev/build-your-own-search-engine
- LLMs and RAG
- Preparing the environment
- Retrieval and the basics of search
- OpenAI API
- Simple RAG with Open AI
- Simple RAG with Open-Source LLMs
- Embeddings
- Vector search
- Adding vectors to RAG
- Ingesting data with Mage
- Monitoring with ground-truth
- Metrics (RAGAs)
- Dashboarding with Grafana for visualization
- Monitoring chat
- Guardrails
- Best practices
In the competition, you need to use LLMs to solve high school mathematics problems. Your task is to develop models that can accurately solve these problems and submit your predictions.
For more details, visit the competition page.
Thanks to the course sponsors for making it possible to run this course
Do you want to support our course and our community? Please reach out to alexey@datatalks.club