产品精选
Databricks：智能体接管实验循环，AI Runtime 应对训练负载增长
精选理由
Databricks 分享了他们让智能体自动跑实验的真实做法，训练任务涨了 8 倍，还讲了怎么用 AI Runtime 解决启动慢和 GPU 不稳的问题，做实验平台的人可以看看。
Databricks 研究团队让智能体承担提出改动、并行启动实验、评估结果和决定下一步的完整流程，取代手动跑每次试验。在其 AI Functions 研究负载中，训练任务量增长了 8 倍。规模扩大后，启动延迟和 GPU 稳定性成为关键瓶颈，团队因此使用 AI Runtime 来支撑智能体驱动的研究节奏。
原文 · Databricks
AI research is changing as agents take on more of the experimentation loop.
Instead of manually running every trial, our researchers increasingly use agents to propose changes, launch parallel experiments, evaluate results, and decide what to try next.
Across our AI Functions research workloads, training jobs have grown 8x.
At that scale, launch latency and GPU reliability become critical. Here's how we're using AI Runtime to keep up with the pace of agent-driven research.
https://t.co/Azqu5p1U6j
