🚨公开唐杰教授清华《高级机器学习》16周课纲!智谱创始人直接把“大模型全栈研发指南”搬进课堂,112人教室挤爆,传统ML彻底翻篇!

This is a dev post classified by AGK Intelligence as Careers & learning (a free resource), kept by the Dev Radar because it carries real work, not commentary.
🚨公开唐杰教授清华《高级机器学习》16周课纲!智谱创始人直接把“大模型全栈研发指南”搬进课堂,112人教室挤爆,传统ML彻底翻篇! 最大感受:这不是课,是2026年大模型工程师的生存手册。 唐杰首堂课直接放话:“Chat这一仗基本打完了,接下来是AGI和ASI。” 整门课从Transformer、预训练、Scaling Law一路打到后训练、Agent、持续学习与评估,硬核到不行。 更狠的是五类实践作业(比课堂内容还硬): 1️⃣从零训练语言模型 不准调包。自己实现Tokenizer + Transformer核心模块,端到端训完0.1B(约1亿参数)模型。 2️⃣训练与推理性能优化 手写Triton Attention Kernel,实测多卡训练/推理性能增益。懂底层算力调度的人,才是下半场真正的香饽饽。 3️⃣数据处理与Scaling Law 从Raw Dump清洗语料 → 训不同规模模型 → 拟合Scaling Law并外推。大厂预训练研究员核心技能直接练。 4️⃣后训练方法比较 同一基座上对比SFT、DPO、RLVR,看不同方法真实效果。 5️⃣长程Agent与自我评估 搭建可验证环境+Harness,训练能执行长程任务的Agent,并探索Self-judge Loop。未来AI落地必争之地。 考核更绝:没有期末死记硬背笔试。2-3人组队,用英文NeurI
Posted by SuSu_酥酥👅 (25.4k followers) 53 min ago · 29 likes · 2.2k views · view the original post on X. Kept by the Dev Radar as Careers & learning.
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