Why Evaluating LLMs Is So Much Harder Than Evaluating Regular ML Models
中文摘要
探讨大语言模型评估为何比传统机器学习模型更复杂，不能仅靠简单指标完成。
English Summary
Evaluating LLMs is significantly more challenging than traditional ML models, as simple metrics are insufficient.
Original Excerpt
Most people think evaluating LLMs is just like evaluating any other ML model, run some metrics, check a score, and you’re done. That… Continue reading on Medium »