Glossary
Preference data
Quick answer
Examples where people compare two or more model responses and pick the better one.
It trains reward models used in RLHF and related methods.
Expert preferences in professional domains are especially scarce.
Why Preference data matters when licensing company data to AI
Preference data is examples where people compare two or more model responses and pick the better one. It trains reward models used in RLHF and related methods. Expert preferences in professional domains are especially scarce, so licensed records that include reviewer choices and their reasons are of particular interest to buyers.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
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