# ReLU.chat

> Six free learning assistants. Questions are processed locally in the browser; page and optional model downloads use the network.

## Chatbots
- [Game Theory Chat](https://relu.chat/chat/game-theory-chat/): On-device NLU assistant for game theory concepts 80 topics.
- [Golden Age Inquiry](https://relu.chat/chat/golden-age-inquiry/): Explore Islamic Golden Age science and philosophy 50 topics.
- [Data Science Chat](https://relu.chat/chat/data-science-chat/): On-device NLU assistant for data science and ML concepts 41 topics.
- [Reinforcement Learning Chat](https://relu.chat/chat/reinforcement-learning-chat/): Learn how agents choose actions: rewards, value functions, bandits, Q-learning, and policy gradients. 16 topics.
- [Linear Algebra Chat](https://relu.chat/chat/linear-algebra-chat/): Build intuition for vectors, matrices, eigenvalues, projections, and the linear algebra behind machine learning. 16 topics.
- [Web Platform Chat](https://relu.chat/chat/web-platform-chat/): Understand browser JavaScript, HTTP caching, WebAssembly, workers, accessibility, and local data storage. 16 topics.

## Learn and inspect
- [Learning guides](https://relu.chat/blog/)
- [Interactive ML tools](https://relu.chat/tools/)
- [Architecture and limits](https://relu.chat/how-it-works.html)
- [Policy evaluation](https://relu.chat/data/policy-evaluation.json)

These are curated retrieval assistants, not general-purpose language models. They can misunderstand questions and do not execute code or solve arbitrary exercises. Offline use requires previously loaded assets.