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: A New Paradigm of RL-based Calibrated Decisions
The post notes that CLM is contrastive, while Jev is trained with reinforcement learning for calibrated decisions.
Pay attention to this new paradigm. CLM is contrastive, and Jev is trained with Reinforcement Learning for Calibrated Decisions
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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.
