Labs
Each TLM session includes a hands-on coding lab where participants experiment with ML concepts from the talk or related topics.
Labs are designed to be approachable in ~1 hour during the session, but repositories stay open so you can keep experimenting.
All lab repositories are hosted on the TLM GitHub organization.
What’s in a lab?
Starter notebook
Boilerplate code and data loading so you can jump straight into the problem.
Dataset
Included in the repo or with download instructions.
Challenge description
A clear README with goals, constraints, and evaluation criteria.
Leaderboard
Track results and compare approaches.
Active Lab
| Date | Topic | Repository |
|---|---|---|
| May 2026 | Multimodal learning | Multimodal Learning |
Past Labs
| Date | Topic | Repository |
|---|---|---|
| Mar 2026 | LLM Lego: playing in the embeddings space | LLMlego |
| Apr 2026 | Basics of Optimization | Optimization |