Input
Model
Compute
Optimise
Output
A performance-focused AI pipeline implemented in Rust.
What it does
An AI/algorithms project written in Rust, emphasising correctness and performance in a systems language.
How it works
- Step 1. The problem is modelled in safe, fast Rust.
- Step 2. Core logic is implemented with zero-cost abstractions.
- Step 3. The result is memory-safe and high-performance.
- Step 4. A showcase of AI logic outside the usual Python stack.
Where it's used
- Performance-critical AI
- Systems programming
- Algorithm demos
- Research
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