ml-experiments

Akshay Pachaar introduces Primus, an autonomous AI researcher from Transformer Lab that automates the full research loop from literature review to paper writing, demonstrating its self-correcting capabilities in experiments.

A detailed guide on designing effective ML experiments, emphasizing starting with a clear research question, developing research taste, and scaling results. Based on the author's experience running ~100 experiments weekly at Poolside.

A researcher expresses the desire for a simpler, more reproducible ML experiment tracking system than existing tools like Weights & Biases, advocating for one-command launching and plotting.