Liquid AI hosts Decision Models SF Demo Night with Maxime Labonne on Nov 3
maximelabonne · x · 2026-10-30
Liquid AI is hosting a Decision Models Demo Night in San Francisco on Nov 3, headlined by Head of Post-Training Maxime Labonne explaining how their decision models are trained.
- Decision models return calibrated probabilities instead of generated text: Noul (should this action happen?), Choice (which option?), Score (how to rate it?)
- Positioned as low-latency, zero-token decision layers for request routing, agent action approval, moderation, and output evaluation — standalone or alongside LLMs
- The event includes an open call for builders to demo prototypes built on Liquid's decision model family across text, vision, and audio
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