Glossary · Term

mode collapse

← all terms

Definition

Plain language

When an AI assistant ends up sounding the same way no matter what you ask it.

As stated in the literature

A post-RLHF failure mode in which the model's output distribution becomes narrowly peaked, reducing diversity across prompts.

Why it matters: Collapsed outputs hurt creativity, calibration, and exploration, and they can mask underlying capabilities the model still has.

For example, a chatbot keeps opening every reply with the same upbeat phrasing regardless of whether you asked about taxes or pasta.

Heard on the show

“Separately, people have talked about mode collapse — the post-RLHF model gets stuck producing the same kinds of outputs.”
Episode 070 — When Models Know the Answer But Say the Wrong Thing Anyway

Mentioned in 2 episodes

  1. 070
    When Models Know the Answer But Say the Wrong Thing Anyway
  2. 019
    When the Best Reward Model Trains the Worst Policy: Inside EvoLM

Related terms