Whether you need to fine-tune a model, generate a synthetic dataset, apply a new method to your problem, or make your models run faster, it handles the execution and gives you actual deliverables: working scripts, trained models, and clean Jupyter notebooks showing exactly what worked and what didn't. You don't even need a heavy compute setup to run it. It works on local GPUs, over SSH, or even completely free on Google Colab with zero infrastructure required!
Using Colab, isanagent achieved 3x speedup for Turboquant in TPUs