In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
# 启动 AnQiCMS（使用 8001 端口）
，这一点在91视频中也有详细论述
Agents also tend to leave a lot of redundant code comments, so I added another rule to prevent that:，更多细节参见WPS官方版本下载
AI Agent 已具备执行真实操作的能力，已从「文本生成」跨入「行动执行」阶段；