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's OpenAI-Compatible API and Weightless Neural Network Mechanism
Introduces Jev's OpenAI-compatible chat API, a weightless neural network mechanism using lookup tables or integer memory, and 5.1 µs inference.
What the heck is this? Keep up with Jev or something ・OpenAI-compatible chat API ・Weightless Neural Network type mechanism that uses lookup tables or integer memory on RAM, instead of a massive number of floating-point parameters in a neural network ・5.1 µs inference?
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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.
