Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Jev Visual Demos and Multimodal Outlook
Jake Dahn finds the many Jev visual demos inspiring but notes Jev currently lacks image input, looking forward to multimodal support.
it’s inspiring to see all of these neat visual jev demos but given that jev doesn’t take image inputs, it feels a little weird to me will def be cool to see how things go once it’s multimodal
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Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
