AITypeSafe AI launches Jev, a non-LLM transformer for fast structured decisions
Founded by former OpenAI researcher Diogo Almeida, Jev outputs typed decisions rather than text. Optimized for speed (70–500ms) and extreme efficiency (~$0.042 per million input tokens), with zero hallucinations by design through pre-defined output spaces.
TLDR
The model challenges generative LLM dominance for repetitive decision tasks in agents and software, promising massive efficiency gains (193x faster, 444x cheaper). It represents an architectural departure from chat-focused LLMs amid scaling and efficiency debates.
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TypeSafe AI launches Jev, a non-LLM transformer for fast structured decisions
Founded by former OpenAI researcher Diogo Almeida, Jev outputs typed decisions rather than text. Optimized for speed (70–500ms) and extreme efficiency (~$0.042 per million input tokens), with zero hallucinations by design through pre-defined output spaces.
TLDR
The model challenges generative LLM dominance for repetitive decision tasks in agents and software, promising massive efficiency gains (193x faster, 444x cheaper). It represents an architectural departure from chat-focused LLMs amid scaling and efficiency debates.