大模型课程看了不少，注意力、微调、Agent 这些词都眼熟，但真要用到时才发现好多地方没弄懂。
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.
大模型课程看了不少，注意力、微调、Agent 这些词都眼熟，但真要用到时才发现好多地方没弄懂。 llm_course 是一套面向算法工程师的公开中文课程，34 课、204 张卡片，从 Transformer 讲到模型训练、推理和 Agent。 每课 6 张卡片，先提一个问题，再代入具体数字推算。显存为什么不够、微调到底少训多少参数，都能跟着表格一步步看。 GitHub：http://github.com/zhuangzhaoyeye/llm_course 我比较喜欢这种能拿笔跟着算的材料。每张卡片还准备了至少 5 个追问，读到一半有疑惑，可以沿着问题继续往下学。 课程做成单个网页，公式资源也放在文件里，下载后离线打开就能读，手机同样能看，无需账号。 想继续问卡片里的 AI 助教，可以填自己的 DeepSeek 密钥。它会带上当前卡片的内容回答，密钥保存在自己的浏览器里。
Posted by GitHubDaily (91.3k followers) 1 h ago · 7 likes · 1.4k views · view the original post on X. Kept by the Dev Radar as Careers & learning. Tools mentioned: llm_course.
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