InclusionAI's Ling3-SingProbe monitors a model's response as it is generated. A small probe reads the base model's internal representations and produces scores for request intent, unsafe responses and factual-error risk at each generated text unit. This lets an application inspect risk during streamingSending a model's response token by token as it is generated, so the reader sees text immediately instead of waiting for the whole answer.Full definition →. The model card reports less than 0.5% decoding overhead and specifies an exact pairing with Ling-3.0-flash through dedicated integration branches. The released capability is a stream of risk scores; applications still need to decide how those scores affect what users receive.
Terms in this piece · Glossary
streaming — Sending a model's response token by token as it is generated, so the reader sees text immediately instead of waiting for the whole answer.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.