Liquid AI Releases d1: A Decision Model That Returns Calibrated Probabilities With Zero Output Tokens

תקציר מקורי באנגליתLiquid AI has released d1 , a decision model built for structured choices instead of text generation. You give it context and a set of typed questions. It returns calibrated probabilities across a fixed set of outcomes in a single call, with zero generated tokens. The target is the work many teams still send to general LLMs: classification, ticket routing, scoring, moderation, reranking and LLM-as-judge checks. Is it deployable? Yes, today, as a hosted API. d1 runs on the Liquid API under the model name d1:free . Liquid’s model library lists it as API only and not trainable, so there are no GGUF, MLX or ONNX weights to self-host. What is a Decision Model? A decision model evaluates a situation and returns a typed answer from options you define before the call. It does not write text.