Jev
5 articles tagged with Jev
OpenAI opens Decisions API to all customers, cutting latency to 100-180 ms on a reconfigured ChatGPT Luna
OpenAI made its Decisions API available to all customers on Thursday, running a reconfigured ChatGPT Luna that returns choices with confidence ratings in 100 to 180 milliseconds, according to OpenAI. The service competes with TypeSafe's Jev, which ranks higher on two public decision-model indices.
Cloudflare releases Clef decision models, claims 39 ms median latency vs. 524 ms for TypeSafe's Jev
Cloudflare has released Clef and Clef-flash, two open-weight decision models that return probabilities over predefined answer options instead of generating text. The company claims median latencies of 39 ms and 209 ms, against just over 524 ms for TypeSafe AI's Jev. Both support text and images and are API-compatible with Jev.
OpenAI Launches Decisions API, a Fast Classifier Built on Luna Model, Echoing TypeSafe's Jev
At Dev Day, Sam Altman revealed OpenAI's new Decisions API, which narrows its Luna model to predefined choices for fast, cheap classification. The move closely mirrors Jev, a specialized decision model from startup TypeSafe AI released weeks earlier.
"Jev" Text Classifier Draws Scrutiny From ML Researchers as Details Remain Unconfirmed
A tool called Jev has generated significant discussion in technical communities over the past two weeks for its text classification capabilities. Machine learning researcher Sebastian Raschka published an analysis situating Jev within the decades-long evolution of text classification, from bag-of-words models to transformers, while noting its exact architecture is unconfirmed.
TypeSafe Launches Jev, a Non-Generative 'Decision Model' Claiming Up to 200x Faster, 400x Cheaper Than Small LLMs
TypeSafe, founded by ChatGPT co-inventor Diogo Almeida, launched Jev on September 15, 2026 — a model that cannot generate free-form text but claims to classify, route, and score 20-200x faster and 40-400x cheaper than small frontier LLMs. Trained via a new method called RLCD, Jev targets production systems that use LLMs purely as structured judges or routers.