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To improve the relevance of responses produced by Dropbox Dash, engineers at…

To improve the relevance of responses produced by Dropbox Dash, engineers at #Dropbox started using #LLMs to augment human labeling - a crucial step in identifying which documents should be used to generate answers.

Their approach offers useful insights for anyone building systems with #RetrievalAugmentedGeneration (RAG).

Learn more: https://bit.ly/3P1nEyj

#InfoQ #AI

Preview image for Scaling Human Judgment: How Dropbox Uses LLMs to Improve Labeling for RAG Systems

Scaling Human Judgment: How Dropbox Uses LLMs to Improve Labeling for RAG Systems

To improve the relevance of responses produced by Dropbox Dash, Dropbox engineers began using LLMs to augment human labelling, which plays a crucial role in identifying the documents that should be used to generate the responses. Their approach offers useful insights for any system built on retrieval-augmented generation (RAG).

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