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 High-Speed Model Built for Structured Data Generation
Jev is a high-speed model specialized for serving structured data generation, focusing on this just-need within the broad LLM landscape. Structured data is seen as the electricity, water, and gas of AI work.
jev is essentially a high-speed model specialized for serving structured data generation. In the already very broad LLM demands, it specifically picked out a just-need and focused on it alone. And structured data is indeed the electricity, water, and gas of AI work. Back in
· 142 likesOpen on X
More like this
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.
