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.
How Jev Chats: Understands Natural Language, Returns Options and Probabilities
The post notes that chatting with Jev is 98% different, 96% understands natural language, and returns options and probabilities instead of prose.
Jevとチャットできる？ → 98% 違う 自然言語は理解する？ → 96% 理解する 返すのは文章じゃなく、選択肢と確率
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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.
