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.
Understanding Jev's Choice, Score, and Noul in 22 Minutes
Vishwas Gopinath explains Jev's Choice, Score, and Noul in 22 minutes, then builds the same decision flow in the Playground and TypeScript, suggesting code for obvious calls and Jev for the messy ones.
Codevolution creator Vishwas Gopinath: "The simplest way to think about it is as a smart if statement" In 22 minutes, he explains Choice, Score, and Noul, then builds the same decision flow in the Playground and TypeScript Use code for the obvious calls and Jev for the messy
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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.
