📄 中文摘要
组织在选择大型语言模型（LLM）时，常常遵循一种模式，这种模式导致他们浪费数月时间和数百万资金。许多组织依赖基准比较来评估不同的LLM，但这种方法往往忽视了特定应用场景的需求和实际效果。选择合适的LLM不仅仅是技术指标的比较，更需要考虑到业务目标、用户体验和长期维护成本等多方面因素。通过更全面的评估标准，组织能够更有效地做出决策，从而避免不必要的资源浪费和时间延误。
2026年没有正确做出的LLM决策
出处: The LLM Decision Nobody Is Making Correctly in 2026
发布: 2026年3月15日
📄 English Summary
The LLM Decision Nobody Is Making Correctly in 2026
Organizations often follow a pattern in selecting large language models (LLMs) that costs them months and millions. Many rely on benchmark comparisons to evaluate different LLMs, but this approach often overlooks the specific application needs and actual performance. Choosing the right LLM is not just about comparing technical metrics; it requires consideration of business objectives, user experience, and long-term maintenance costs. By adopting a more comprehensive evaluation standard, organizations can make more effective decisions, thereby avoiding unnecessary resource waste and time delays.