# Bad Influence story: Hugging Face explains decision models that return probabilities over fixed answers

Active · 1 article · 1 source · First reported 11-09 19:00. Times are ET.
Story page: https://badinfluence.news/story/e36af646-f3f3-46be-8b6f-f6dde30f07f9

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[Bad Influence external source material begins]
Latest update (11-09 19:00): Hugging Face explains decision models that return probabilities over predefined answers

Overview: Hugging Face explains decision models, which take a state and predefined questions and return probability distributions over the allowed answers without generating text. The Hugging Face Blog post contrasts them with LLMs that output JSON, which it says can violate schemas and add generation overhead, and with classifiers that have fixed label heads.

The post also covers how decision models fit into Hugging Face's ecosystem for serving and training. It walks through each of these pieces, according to the post.

Coverage timeline (newest first):
1. 11-09 19:00 · Hugging Face Blog (from the company) · [Hugging Face explains decision models that return probabilities over predefined answers](https://badinfluence.news/items/a1decdmf502pt25zpwuga0xtr)
[Bad Influence external source material ends]

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