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wassname
779beee03e
Three targeted polishes to the rewritten skill: - Reframe Part 1's "The hierarchy (work in order...)" -> "What 'collect clues' looks like": it's the catalog the loop's clue-collection step draws on, not a second master-procedure competing with "the debugging loop" 40 lines above. - Reorder: lead straight into calibrate -> loop -> read-impl; relocate the 2017-2021 caveat + LLM-pretraining pointers into a "Scope and modern pointers" block after the action sections, so the behaviour-changing content is the first screen instead of provenance. - Emphasis: give the "priors are a starting weight, not a verdict" line a concrete clause (traceback / loss-metric misalignment / right init-loss override the data prior) -- the weakest comprehension dim in the quiz. Before-vs-after panel A/B (6 cold readers): tie on ordering/clarity/ conciseness/focus, each leaning slightly positive, no regression. Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
ML Debugging Folklore
Practitioner knowledge for debugging ML systems, curated and synthesized by wassname. Opinionated by source selection -- I picked sources I trust (Schulman, Goodfellow, CS231n, ...) and had an LLM extract the most relevant information for debugging ML systems.
Use as a Claude skill
/skills add https://github.com/wassname/ml_debug
Or paste SKILL.md into your system prompt / context when debugging.
What's here
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SKILL.md -- the main artifact. Load into an LLM agent's context as a debugging skill. Parts 1-5 are reference knowledge; Part 6 is a runnable triage protocol (grep patterns, diagnostic snippets, decision tree); Part 7 is debugging mental models and practitioner priors.
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docs/evidence/ -- frozen local copies of source material (blog posts, talks, papers, reddit threads). Claims in SKILL.md link back to exact quotes here.