Category Theory for Tiny ML in Rust — Public Workshop

Join us for a thought-provoking workshop that dives into Category Theory for Tiny ML in Rust! 🌟

Modern AI frameworks have made machine learning accessible to many, but true understanding is often lacking. In this workshop, we will explore the principles behind Category Theory applied to Tiny ML, focusing on a Rust-based learning project designed for engineers eager to grasp AI systems beyond the framework layer.

Workshop Goals:

• Not to replace Python.
• Not to embellish with category theory.
• To reconstruct Tiny ML concepts from fundamental principles using:
  • Rust types 🦀
  • Typed transformations
  • Composition
  • Training loops
  • Category theory as an engineering tool

Key Concepts:

We'll examine how a small ML pipeline can be viewed as a series of explicit transformations:

• Text → Tokens → Training Pairs → Model State → Prediction → Loss → Updated Model State

Event Format:

This engaging workshop will take place at Schoolab Saint-Lazare in Paris and will also be streamed live for remote participants.

Please note that this session will not be recorded; it is intended to be an interactive experience where participants can ask questions, challenge ideas, and provide feedback on the evolving public draft.

Who Should Attend:

• ML engineers eager to uncover what frameworks conceal.
• Rust developers intrigued by AI.
• Systems engineers keen on typed design.
• Engineers curious about category theory.
• Technical founders and builders who value first-principles learning.

No need to be an expert in category theory or Rust—just bring your curiosity about making tiny AI systems clearer, composable, and more understandable! Not about abstraction cosplay—it's all about executable structure.

🌐 Get your tickets here!