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.
Reflecting on TypeSafe Jev with LLMs and Rule-Based Systems
The author says combining TypeSafe Jev with LLMs and rule-based systems addresses prior frustrations but implies significant rework of existing systems.
TypeSafeのJevとLLMとルールベース。 これまでのモヤモヤに刺さるけど、それがゆえに結構今までのモノを作り替えないといかんな〜 #Jev #TypeSafe
· 0 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.
