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.
Using System One models like Jev for multi-path reasoning
MetaCog uses System One models like Jev to generate multiple reasoning paths and pick better ones, improving cost, time, and accuracy. Contributors wanted.
Models tend to just continue down the wrong thought path. With MetaCog, we use System One models (like Jev) to output multiple paths and choose better ones... Improving cost, time and accuracy. Looking for contributors!
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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.
