Model evaluation: stopping, alignment and ensembles
Use the small KAPT evaluation utilities to examine why the best epoch, sample identity and decision threshold belong in an experimental protocol.
Research & engineering notebook
Questions from real code, small examples to reason with, and decisions worth revisiting.
Use the small KAPT evaluation utilities to examine why the best epoch, sample identity and decision threshold belong in an experimental protocol.
Use a Silk Road teaching order to distinguish request retries, stock contention and state transitions, then turn those distinctions into testable decisions.
Use bilingual search and video tabs to examine the relationship between state, focus and reduced motion.
Use the data preparation demo to examine IDs, duplicate conflicts and quarantine reasons, then derive boundaries for annotation records and model inputs.
Trace task prompts, node features and gradient paths; distinguish frozen parameters from disabled gradients, and define what component checks can establish.
Connect resource authorization, workflow states and release evidence through the archive and counselor-system cases.
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These learning summaries were compiled from public code and project documents, with AI assistance in drafting and translation. They distinguish source observations, simplified examples and proposed checks. They are not a dated lab log or evidence of new benchmark results.
More learning repositories and earlier notes