Topic
Assigning one of a fixed set of labels to a piece of text, such as routing a support ticket to the right queue.
OpenAI launched its Decisions API on October 6, three weeks after startup TypeSafe's cheap classification model Jev went viral with developers. Both chase the routine judgments a business automates by the thousand, where cost per decision decides what is worth doing.
Reality
Supersonic Labs' Julia 1, a 144.3M-parameter model trained for about $104, picks labels from a caller's list on an ordinary CPU. On its own 72-label Banking77 pilot it scored 64 of 100, which shows where the 20-option cap keeps it from replacing an LLM classifier.
Reality
Clusterflick sorts 450 to 600 unmatched London cinema listings a day into ten categories. Its maintainer spent an evening rebuilding that call around typed questions and exclusion lists, with the feature-length comparison done in his own code.
Reality
On three Japanese tasks scored against the same 250 frozen rows, a fine-tuned encoder won topic classification by 12 points and tied both polarity tasks, while every zero-shot open-source model in the run lost all three.
Reality
A KDnuggets walkthrough builds its comparison on Qwen2.5-0.5B-Instruct on an M2 MacBook Air, where the keys and values for a static instruction block come out identical on every call and only the ticket text changes.
Reality