Hacker News 提問：面對眾多 AI 模型，如何快速選擇合適的？
Hacker News·
這篇 Hacker News 的貼文詢問社群，在眾多 AI 模型中，如何快速挑選出最適合的，同時考量輸出品質、成本與延遲等因素，且無需撰寫客製化程式碼或建立複雜的評估流程。
If you care about things like output quality, cost, and latency, how do you evaluate models quickly, especially if you don’t want to write custom code or build evaluation pipelines?
Do you rely on docs and benchmarks, ask engineers to run experiments, manually test a few options, or something else?
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