autolab-ai Communautéhills
Optimize anything through autonomous experimentation, against an evaluator you cannot grade yourself with. Use whenever the user wants to improve a number by iterating - raise accuracy, cut val loss, make training or inference faster, reduce latency or cost, beat a baseline, tune a pipeline or prompt, squeeze a kernel, run experiments overnight, or set up a benchmark for someone else to beat. Also use for any request to create, inspect, update or score against a hill, or when the user types /hil
- Installations / 1h
- 1
- GitHub Stars
- 20
- Mis à jour
- 28 sept.