Option order affects answers in non-autoregressive LLM
Order sensitivity causes 25.8% answer flips in Laya model; shuffling during fine-tuning cuts the rate to 7.2%
Order sensitivity causes 25.8% answer flips in Laya model; shuffling during fine-tuning cuts the rate to 7.2%
Liquid AI launched d1, a hosted decision model returning calibrated probabilities with zero output tokens.
TypeSafe AI launched Jev, a closed decision model that returns typed, calibrated choices for agent loops.
Evaluations show agent-security judges can miss attack groups they confidently call safe, limiting automatic decisions.
Ollaya is an open-source local runtime for fast Jev-style decision models, compatible with TypeSafe.
Convai Innovations released Laya, an open-source Apache 2.0 family of non-autoregressive decision models claiming 6-8x faster inference than TypeSafe AI's Jev.
Jev's non-generative decision model launch drew 36M views and six open clones in two days, positioning discriminative models as fast complements to LLMs.
ConvAI published Laya Multilingual, a 322M non-autoregressive model answering typed questions across 100-plus languages.
Convaiinnovations releases Laya, an open-source 421M-parameter non-autoregressive decision model for calibrated email triage, phishing detection, and routing.
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