LLM Evaluation
5 articles tagged with this topic
2.8T Kimi K3 Can't Debug One Real Bug — High Benchmarks ≠ Real Capability
Kimi K3 (2.8T params) failed an OpenCode debug after an hour. Claude Opus 5 pinned the root cause in seconds. Benchmarks ≠ real-world judgment.
Xiaomi MiMo Wastes 6x Compute on Junk Code; LLMs Shift to Delivery Efficiency
Xiaomi MiMo burned 6x compute for junk code while DeepSeek excelled. Benchmarks no longer reflect true dev capability; focus on delivery and costs.
Stop Guessing RAG Quality: RAGAS Uses AI to Grade AI
RAG quality often relies on guesswork. RAGAS uses 4 metrics and LLM-as-Judge to turn gut feelings into engineering KPIs—vital for enterprise knowledge
Xiaomi MiMo Tops Reasoning Test: Cost-Efficiency Beats Parameter Count
Xiaomi MiMo-V2.5-Pro wins complex social reasoning tests under $1, shifting AI focus from raw compute to cost-efficiency for enterprise deployment.
AI 系统好不好，不能靠演 示两个案例说话——一套给复 杂 AI 系统打分的量化方法正 在行业里传开
A reproducible A /B evaluation framework for LLM-enhanced systems is gaining traction—replacing cherry-picked demos with controlled experiments.