TypeSafe AI releases Jev 1.14 with experimental features
MarkTechPost: TypeSafe AI Releases Jev 1.14 With Images, Box Type and 262k Context
TypeSafe AI has released Jev 1.14, a new version of its System One decision model. It is live now under the jev-preview alias. It adds 3 experimental ‘danger zone’ features: images, a box type and longer context. For developers, Jev 1.14 pushes a typed decision model toward vision tasks like inspection and localization. TypeSafe shares a note that none of the 3 features are ready for production yet. TL;DR: Jev 1.14 Size: Parameters not disclosed. Context is 64k tokens per req
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TypeSafe AI released Jev 1.14, an updated version of its System One decision model that returns typed answers to questions rather than generated text. The new version adds three experimental features: image input capabilities, a Box type that returns bounding box coordinates, and an optional longer context window of 262k tokens, though the company notes none of these features are production-ready. Jev operates through TypeSafe's hosted API only, accepts typed questions in formats like Choice, Score, or Noul, and returns answers with confidence scores, with pricing unchanged at $0.042 per million input tokens.
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What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs.