Commit to building a small, representative eval pack before the next training job.
Build a 30-case eval pack for an upcoming fine-tuning job before uploading training data. Use this when a fine-tune request arrives with examples but no frozen eval suite. I will create 30 eval cases: 12 ordinary, 8 known failures, 6 high-risk edge cases, and 4 adversarial or noisy inputs. I will record the baseline and target before training. In 2 days, check whether the eval pack exists and has slice labels. A PM sends a JSONL training file for a support SFT run but no holdout eval. A checkpoint review shows reward improvement but no production-failure slice. A teammate wants…
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