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.
What is Jev: an AI that doesn't write, it picks answers like a multiple-choice test
The post explains Jev with an exam analogy: ChatGPT and Claude are like essay questions, while Jev is like a multiple-choice test, picking only from preset options, so replies are instant and cheap.
そもそもJevって何なのか。 文章を書かないAIです。用意された選択肢から「これ」と選ぶだけ。 学校のテストで言うと、ChatGPTやClaudeが記述式で、Jevはマークシート。このたとえはQiitaのyushibatsさんの記事から借りてます。 一文字ずつ文章を組み立てないから、返事が一瞬で、しかも安い。
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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.
