Bridging the gap between raw data and high-performing AI models

General RLHF

Overview & Technical Details

The Service: Collecting preference feedback from a broad, general pool of human annotators to align an LLM with human values. Annotators rank or rate model outputs based on universal criteria like conversational flow, tone, politeness, safety, and helpfulness.

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Service Details
Category: LLM Fine-Tuning Data