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llm_course

llm_course — 写给算法工程师的大模型课程:34 课,每课从一个问题出发,用具体数字把机制从头算一遍. Contribute to zhuangzhaoyeye/llm_course…

llm_course is 写给算法工程师的大模型课程:34 课,每课从一个问题出发,用具体数字把机制从头算一遍. Contribute to zhuangzhaoyeye/llm_course development by creating an account on GitHub.. It is ranked #442 on the Dev Radar, in Careers & learning, first seen 2 h ago and shared in 1 post (1.4k views).

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GitHub - zhuangzhaoyeye/llm_course: 写给算法工程师的大模型课程:34 课,每课从一个问题出发,用具体数字把机制从头算一遍 · GitHub Skip to content Navigation Menu Sign in Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation llm_course Public Notifications You must be signed in to change notification settings Fork 0 ( 0 ) Star 3 ( 3 ) You must be signed in to star a repository About 写给算法工程师的大模型课程:34…

What people said about llm_course on X

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。…

— @GitHub_Daily, 2 h ago · 7 likes · see the post

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What is llm_course?

写给算法工程师的大模型课程:34 课,每课从一个问题出发,用具体数字把机制从头算一遍. Contribute to zhuangzhaoyeye/llm_course development by creating an account on GitHub. It was first shared on X 2 h ago and is ranked #442 on the Dev Radar.

Is llm_course free?

It is open source.

Who shared llm_course?

1 account on X, including @GitHub_Daily, in 1 post totalling 1.4k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.3k posts from 5k X accounts over the last 21 days, 9.1k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-03 16:22 UTC. Full method.