Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.
Jev: A Decision-Focused AI Model Trained with RLCD
Diogo Almeida introduces Jev, an AI model built for decisions rather than text generation, trained with a new method called RLCD. It is claimed to be 20–200× faster and 40–400× cheaper than comparable LLMs, at $0.042 per million input tokens.
Sounds almost too good to be true. Jev is an AI model built for decisions rather than text generation, introduced by Diogo Almeida and trained using a new method called RLCD. Claimed to be 20–200× faster and 40–400× cheaper than comparable LLMs. Costs $0.042 per million input
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