How do modern taste engines overcome traditional RLHF limitations?

Question

Accepted Answer

Traditional RLHF collapses taste richness into a monolith by assuming a single human reward model, but LoRe models individual preferences as combinations of shared basis functions. This enables LLMs to adapt to users' unique aesthetic and stylistic tendencies without retraining.

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