Your LLM Topped the Leaderboard. Here’s Why It’s Still Failing in Production.
中文摘要
即使大模型在基准测试中领先，由于测试与实际生产环境存在差异，它们在实际应用中仍可能失败。
English Summary
Even if LLMs top leaderboards, they often fail in production because benchmarks cannot replicate real-world complexities.
原文节选
A benchmark tests one thing. Production tests everything else — and that gap is where most AI systems quietly break. Continue reading on AI Advances »