# Category Theory for Tiny ML in Rust — Public Workshop
**Date de l'événement :** 14/05/2026
* Publié le 14/05/2026

### Date
14/05/2026

### Galerie d'image
![1.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2F7qmo7Pj6iJDGivcOKBf3%2Fthumbs%2F1_1600x900.png?alt=media&token=5e1c5496-9517-47a6-b7f2-013ed5dafd7f) 

### Ville
`#Paris` 

## Description
Modern AI frameworks made machine learning accessible. But accessibility is not always understanding. In this workshop, we will explore the ideas behind Category Theory for Tiny ML in Rust, a public working draft and Rust-based learning project for engineers who want to understand AI systems below the framework layer. The goal is not to replace Python. The goal is not to use category theory as decoration. The goal is to rebuild tiny ML concepts from first principles using: Rust types typed transformations composition training loops category theory as an engineering tool We will look at how a small ML pipeline can be understood as a sequence of explicit transformations: Text → Tokens → Training Pairs → Model State → Prediction → Loss → Updated Model State The workshop will be held in Paris and streamed online for remote participants. It will not be recorded. This is intentional: the session is designed as a live, interactive discussion where participants can ask questions, challenge the ideas, and give feedback on the public draft while it is still evolving. Who it is for: ML engineers who want to understand what frameworks hide Rust developers curious about AI systems engineers interested in typed design category-theory-curious engineers technical founders and builders who prefer first-principles learning You do not need to be a category theory expert. You do not need to be a Rust expert. You only need curiosity about how tiny AI systems can become more explicit, composable, and understandable. Not abstraction cosplay. Executable structure.

**Lien de l'évènement :** [https://luma.com/bfeg3qoj](https://luma.com/bfeg3qoj)

### Pays
`#France` 

### Continent
`#Europe` 

**Médias associés :**
[Média 1](https://80954c1d.sibforms.com/serve/MUIFABojU8UBbDiX_TdcGa7Wv5VMoVB_nBZ92mkLkGlS1pJLpP7s-pVJusyN-7cG9KPrSuv3fv7TmXwuw_AoyNUShR8jZhmNDgUbZPJO2V5xYXlNz4YXOTjSb8X7Lj7PRIPzgzEWlLbA4f4uw_F8RM51EUsjSfQQko0qaby98GHMdYJVWLIXd5JzzaXBGmqN2CcYOFuqnbnaYEnw) 

## event_id
evt-Pb1kYMQvzs8JrQq@events.lu.ma

### Outils
`#Rust` `#Python` 



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