【第469期】K2-Think:小模型的大推理能力 episode artwork

EPISODE · Jan 11, 2026 · 15 MIN

【第469期】K2-Think:小模型的大推理能力

from Seventy3

Seventy3:借助NotebookLM的能力进行论文解读,专注人工智能、大模型、机器人算法、crypto方向,让大家跟着AI一起进步。今天的主题是:K2-Think: A Parameter-Efficient Reasoning SystemSummaryK2-Think 是一个推理系统,在 32B 参数规模下实现了 SOTA 表现,达到或超过诸如 GPT-OSS 120B 和 DeepSeek v3.1 等更大模型的水平。基于 Qwen2.5 基座模型构建,我们的系统展示出:通过结合先进的后训练技术与测试阶段的计算优化,小型模型同样能够在高性能推理任务中竞争。这一方法基于六个关键技术支柱:长链路思维(Chain-of-thought)监督微调、可验证奖励的强化学习(RLVR)、推理前的代理式规划、测试时扩展(Test-time Scaling)、推测式解码(Specula...去小宇宙查看完整单集简介前往小宇宙评论区与主播互动

Episode metadata supplied by the publisher feed · Published Jan 11, 2026

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【第469期】K2-Think:小模型的大推理能力

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Seventy3:借助NotebookLM的能力进行论文解读,专注人工智能、大模型、机器人算法、crypto方向,让大家跟着AI一起进步。今天的主题是:K2-Think: A Parameter-Efficient Reasoning SystemSummaryK2-Think 是一个推理系统,在 32B 参数规模下实现了 SOTA 表现,达到或超过诸如 GPT-OSS 120B 和 DeepSeek v3.1 等更大模型的水平。基于 Qwen2.5...

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