// 资讯详情
在 Guides & References 下添加"AI"章节及其首个子章节"LLM 基础与提示工程"：AI 落地页、LLM 工作原理（token、transformer、训练、采样、上下文、推理、多模态、幻觉）、提示工程与上下文工程、结构化输出、模型选择（基准测试、成本/延迟、开源 vs 闭源），包含 MathJax、参考文献与一页速查表 PDF
Add "AI" section under Guides & References and its first sub-section "LLM Foundations & Prompting": AI landing page, how LLMs work (tokens, transformers, training, sampling, context, reasoning, multimodality, hallucination), prompt and context engineering, structured output, choosing models (benchmarks, cost/latency, open vs. closed), with MathJax, bibliography and a one-page cheat sheet PDF
Add "AI" section under Guides & References and its first sub-section "LLM Foundations & Prompting": AI landing page, how LLMs work (tokens, transformers, training, sampling, context, reasoning, multimodality, hallucination), prompt and context engineering, structured output, choosing models (benchmarks, cost/latency, open vs. closed), with MathJax, bibliography and a one-page cheat sheet PDF