You can now train your own Decision model like Jev locally!
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More Qwen / Alibaba News
- 16:00 Ai2 / Allen Institute for AI (RSS)
Open-sourcing AstaBrief, the fast report-generation model in Asta
- 09:00 MarkTechPost (RSS)
Cloudflare Releases Clef and Clef-flash: Open-Weight Decision Models That Return Typed Probabilities Instead of Text
Cloudflare has released Clef and Clef-flash, the first models trained by its Workers AI team. They are decision models, not chatbots. Each reads an input state and a schema of typed questions. It returns a probability for every allowed answer, with no free-form text. Both are open-weight under Apache 2.0 and compatible with TypeSafe AI’s Jev API. Is it deployable? Yes, Both models run today on Workers AI, and the weights are on Hugging Face for self-hosting. What a Decision Model Does An LLM gen
- 06:43 X: Artificial Analysis (@ArtificialAnlys)
Alibaba's Qwen-Image-2.1 is the new #1 open weights model on both the AA-Image leaderboards
- 08:00 HuggingFace Daily Papers
Decision-Oriented Recommendation Reranking: An Empirical Study of Jev
View PDF HTML (experimental) Abstract:Large language models (LLMs) have shown promise for recommendation reranking, but their use introduces an important tradeoff between recommendation quality and serving efficiency. We investigate whether a decision-oriented model provides a useful alternative when the reranking task is fundamentally a structured choice among predefined candidate items. Specifically, we conduct a controlled empirical study of Jev, described by TypeSafe AI as a ``System One Mod