OpenAI upgrades fine-tuning API with checkpoints and side-by-side evals
OpenAI just expanded its fine-tuning API and custom models program, giving developers significantly more control over model adaptation. The update introduces epoch-based checkpoints, a comparative Playground UI for head-to-head testing, and assisted fine-tuning with OpenAI researchers. Why it matters: Developers and enterprises can now tailor frontier models to specialized domains with less guesswork and lower compute waste.