ML practitioner: You can draw conclusions from loss curves, especially for small models
mike64_t · x · 2026-10-26
The author pushes back on the claim that nothing can be concluded from loss curves: for small models especially, the mechanism behind what just happened is often clear, so dismissing curve-based diagnosis shows misplaced confidence. He concedes the point holds in interviews, where context is missing and unverified ML intuitions stated as fact are a real problem — but argues that any extreme absolutes in judging interview responses are themselves a red flag.
Related event: AI Lab Interview Question: Don't Jump to Conclusions from Loss Curves(6 posts)→
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