README.md

LLM Zoomcamp

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-zoomcamp channel
• 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

Syllabus

Pre-course workshops

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

Introduction to LLMs and RAG

• LLMs and RAG
• Preparing the environment
• Retrieval and the basics of search
• OpenAI API
• Simple RAG with Open AI

Open-source LLMs and self-hosting LLMs

• Simple RAG with Open-Source LLMs

Vector databases and retrieval techniques

• Embeddings
• Vector search
• Adding vectors to RAG

Workshop: dlt

LLM orchestration and ingestion pipelines

• Ingesting data with Mage

Monitoring and Guardrails

• Monitoring with ground-truth
• Metrics (RAGAs)
• Dashboarding with Grafana for visualization
• Monitoring chat
• Guardrails

Tips and Tricks for advanced RAG systems

• Best practices

Competition

TBA

Hands-on project

Instructors

• Alexey Grigorev
• Magdalena Kuhn

Supporters and partners

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 [email protected]