【新开普：星普大模型内部测评智能推理效果与DeepSeek-R1相近 算力消耗约其1/20】金十数据3月7日讯，新开普3月6日在机构电话交流会表示，公司自研的星普大模型，通过SFT+RL（监督微调+强化学习）的训练技术，在内部测评验证中，实现了与DeepSeek-R1相近的智能推理效果，而算力消耗仅约为其1/20，下一步将参加行业评测，以获取行业公认数据。算力消耗降少可降低硬件投入，节约的算力预算可以为让渡给软件提供了空间，为更多软件、智能体服务及智能应用提供增加预算的空间，在降低算力硬件投入的同时仍要保证使用体验与服务精度。
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