模型多源确认精选

LangChain引擎在Kimi K3微调后提升代码审查精度

We ran it on two of our own agents. OpenSWE Review's precision went from 62.9% to 81.5% with 29% f...

精选理由

LangChain用自家Kimi K3微调的引擎,代码审查精度提升近20%,工具调用减少29%。

LangChain引擎在Kimi K3上微调后,OpenSWE Review的精度从62.9%提升至81.5%。该引擎在代码问题检测基准测试中击败了基础模型和GPT-5.6 Sol。每份审查的工具调用次数减少了29%。

图片来源 · LangChain
原文 · LangChain

We ran it on two of our own agents. OpenSWE Review's precision went from 62.9% to 81.5% with 29% f...

We ran it on two of our own agents. OpenSWE Review's precision went from 62.9% to 81.5% with 29% fewer tool calls per review. Engine, fine-tuned on Kimi K3, beat the base model and GPT-5.6 Sol on our issue-detection benchmark. langchain.com/blog/langsmith… 💬 0 🔄 0 ❤️ 1 👀 201 ⚡

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