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Introducing Reflex-1

One pass, many possible decisions Reflex-1 is a 421M-parameter model for decisions that end in a choice. Give it a textual state, a question, and candidate answers; it scores them in a single forward pass. Candidates can change with every request. A 28-layer context encoder and a six-layer candidat…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-10-06 16:02 · DEV Community — Machine Learning
    Introducing Reflex-1

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