Coach a teammate on the risks of using synthetic data to paper over unclear task boundaries.
Eli EL ML engineer Dataset review Eli says, “We only have 42 reviewed cases. I can spin up 5,000 synthetic examples tonight and get us to training by tomorrow.” Speed is attractive here, but it can amplify uncertainty instead of quality. 42 reviewed seed cases 5,000 synthetic cases proposed Coach frame Amplify clarity, not noise Dataset readiness before dataset scale Ask whether the task boundary is stable, whether the reviewed seed set captures edge cases, and whether synthetic data is being used to expand a rule or invent one. Common trap Using synthetic volume to hide human uncertainty. The dataset…
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