This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...
Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...
华尔街见闻 on MSN
“框架”比“模型”本身对Agent成功的影响大7倍! “推理成本”和 ...
Braintrust对生产环境AI Agent的1781次运行分析显示，智能体框架（Harness）而非模型才是决定Agent成功率的胜负手。保持模型不变仅更换框架，成功率可从12%飙升至92%。在成本端，开源模型展现出巨大优势，Kimi和DeepSeek在编程任务上的单次成功成本远低于闭源模型，而盲目追求低Token成本往往导致“快速失败”。
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