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.
Hands-on with TypeSafe AI's Jev Model API
The author tries TypeSafe AI's recently popular Jev model, finding it easy to use; from an API perspective, it provides detailed context (state) and then poses a few questions with corresponding options.
I took a look at the jev model from typesafeai, which has been super popular these past couple of days, and surprisingly, it's so easy to use (see pic). From the API perspective, it just provides detailed context (state), then gives it a few questions with corresponding options,
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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.
