TLDR Tech / Data
Using LLMs to amplify human labeling and improve Dash search relevance
Dropbox enhanced search relevance in Dropbox Dash by combining a small seed set of high-quality human-labeled query-document relevance judgments with LLM-assisted labeling to scale training data by ~100x. Its team tuned LLM prompts on human data to minimize disagreements, then used the calibrated LLM offline as a "teacher" to generate massive synthetic labels from error-prone or representative samples.
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