Harrison Chase(@hwchase17)

really excited to see this release AND integrate it with deepagents!! https://t.co/HSpAO8GZP0

7.5内容质量
really excited to see this release AND integrate it with deepagents!!

https://t.co/HSpAO8GZP0

TL;DR · AI 摘要

Nemotron 3.5 Lightning模型集成Switchyard基准后,成本降低74%,准确率仅下降6点,推动代理系统优化。

核心要点

  • Nemotron 3.5 Lightning模型集成Switchyard后,推理成本降低74%
  • LangChain的Switchyard基准为代理路由建立评估标准
  • 7%的调用消耗68%费用,多轮任务优化后准确率下降约6点

结构提纲

按章节快速跳转。

  1. 介绍新型AI模型的性能优势及开放特性

  2. ·Switchyard基准集成

    LangChain推出代理路由评估标准并被deepagents采用

  3. 7%调用占比消耗68%费用,优化后成本下降74%

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • Nemotron 3.5 Lightning与Switchyard集成
    • 模型特性
      • 智能、快速、高效、开源
    • 基准测试
      • LangChain Switchyard评估标准
    • 优化效果
      • 成本降低74%
      • 准确率下降约6点

金句 / Highlights

值得收藏与分享的关键句。

  • 7% of the calls ate 68% of the bill. your 145 multi-turn tasks: drop lightning in for the rest, total cost falls 74%, accuracy only ~6 points softer.

    用户评论

    ⬇︎ 下载 PNG𝕏 分享到 X
  • LangChain's Switchyard benchmark for agent routing is a solid step toward eval standards.

    用户评论

    ⬇︎ 下载 PNG𝕏 分享到 X
  • Nemotron 3.5 Lightning is smart, fast, efficient and open.

    推文正文

    ⬇︎ 下载 PNG𝕏 分享到 X
#AI模型#基准测试#代理系统#成本优化
打开原文

Harrison Chase on X: "really excited to see this release AND integrate it with deepagents!! https://t.co/HSpAO8GZP0 https://t.co/41BZUevRBM"

Lightning strikes for continuous and long-run agents! Nemotron 3.5 Lightning is smart, fast, efficient and open.

  • ![Image 4: user avatar](https://x.com/GitMaxd) Reading about this Switchyard and it seems like the most interesting thing today - Similar to “Auto-Mode” Glad to see the mention of Latency in the blog, well explained - great article!
  • ![Image 5: user avatar](https://x.com/kysstalol) LangChain's Switchyard benchmark for agent routing is a solid step toward eval standards. Good to see deepagents integrating it.
  • ![Image 6: user avatar](https://x.com/sandeep_alluru) 7% of the calls ate 68% of the bill. your 145 multi-turn tasks: drop lightning in for the rest, total cost falls 74%, accuracy only ~6 points softer.