Perplexity 宣布对其最初于 6 月发布的搜索即代码 (SaC) 系统进行了重大优化。这些更新旨在进一步提高性能，并将每项任务的成本降低近 10%。该公司还报告称，其在“Computer”环境中的搜索 SDK 更新的可靠性有所提高，执行可靠性从 81.9% 提高到 92.6%。这些进步预计将转化为更高的用户满意度和跨各种实际用户工作流程更强的编排能力。 AI
影响 这些优化可能导致更高效、更具成本效益的 AI 代理开发和部署。
排序理由 现有工具的产品更新和优化公告。
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These improvements show up across a wide range of real-world user workflows. In Computer, SaC optimizations delivered higher user satisfaction at an 8% lower per-task cost. https://t.co/RrVBvesoYE
How an SDK is shaped determines how well models can use it. We’ve rolled out two batches of Search SDK updates within Computer, raising execution reliability from 81.9% to 92.6%. More reliable action execution enables more capable orchestration. https://t.co/5nNFNUrciD
We released Search as Code (SaC) in June, achieving state-of-the-art performance on wide and deep research. This week, we’re rolling out optimizations to SaC that further improve performance while cutting cost per task by nearly 10%. https://t.co/58Caylqbsy