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OpenJev

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lookski · Original language: unknown

OpenJev provides a local, type-safe decision engine that uses masked-logit softmax to extract calibrated probabilities from LLMs without text generation. It demonstrates how to perform classification and scoring tasks efficiently by bypassing standard decoding, ensuring zero data leakage and no hallucinations.

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