新闻
Cost per task: Using cheap classifiers to route across Gemini models and thinking levels- Google Developers Blog
Google Developers · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Google tested using lightweight classifiers to route coding tasks between Gemini models, finding routers can reduce cost and latency versus running expensive reasoning on all tasks.
- 为何重要
- Matters for engineers building autonomous agents where per-task cost dominates budgets and many decisions don't require expensive reasoning models.
- 注意
- Results from 50 hand-labeled tasks with simple grading; real production workloads with context caching and longer prompts may see different tradeoffs between routing and caching.
- gemini
这条新闻背后的模式
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。