Das Szenario
A deployed language model collects user prompts and generates candidate responses; users rank responses to create preference data used to train a reward model and update the policy.
Was diese Zeichnung zeigt
Die dahinterstehenden Entscheidungen verstehen.
01
User ranks responses or session discarded
02
Policy converged or continue training loop
Use for RLHF pipelines, chat model alignment, or any interactive preference-based fine-tuning flow.