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 open source: answering typed questions in a single forward pass
The author runs a second model alongside the LLM on a Spark. It does not write text; it takes a state and typed questions and answers each in a single forward pass with a probability. This is the open source version of Jev, installable on macOS and Nvidia hardware.
I put a second model next to the LLM on my Spark. It does not write text. You send it a state and typed questions, and it answers every one of them in a single forward pass, each with a probability. Yes it is Jev the open source version. It can be installed on macOS, any Nvidia
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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.
