Auker 1.0

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Auker is Reasonary AI’s self-improving agentic model. It breaks complex tasks into subproblems and learns how to allocate models, agents, tools, and reasoning to each one. In our MMMU-Pro evaluation, 116 optimization experiments produced a policy that reached 80.35% accuracy at a total cost of $9.73—about 6× lower cost than Auker’s initial baseline at essentially unchanged accuracy. We’re bringing this adaptive allocation approach to enterprise workloads.

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   2026年10月1日 · 1 次收录