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mlabonne/llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

#Learning resources
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84.7k
10k
3 contributors
Apache License 2.0
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Momentum

How fast mlabonne/llm-course is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 29 – Oct 28, 2026

Stars +2,671 in 61 days

0200400
383

Forks +370 in 61 days

02040
35

Merged PRs 0 in 61 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Aug 29Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sat, Aug 29, 2026+26+50
Sun, Aug 30, 2026+28+40
Mon, Aug 31, 2026+32+70
Tue, Sep 1, 2026+45+50
Wed, Sep 2, 2026+35+50
Thu, Sep 3, 2026+30+30
Fri, Sep 4, 2026+47+80
Sat, Sep 5, 2026+10+40
Sun, Sep 6, 2026+30+20
Mon, Sep 7, 2026+32+50
Tue, Sep 8, 2026+19+10
Wed, Sep 9, 2026+45+110
Thu, Sep 10, 2026+64+40
Fri, Sep 11, 2026+47+110
Sat, Sep 12, 2026+39+100
Sun, Sep 13, 2026+82+80
Mon, Sep 14, 2026+115+100
Tue, Sep 15, 2026+80+110
Wed, Sep 16, 2026+104+140
Thu, Sep 17, 2026+31+40
Fri, Sep 18, 2026+14+20
Sat, Sep 19, 2026+9+20
Sun, Sep 20, 2026+18+30
Mon, Sep 21, 2026+16+20
Tue, Sep 22, 2026+31+60
Wed, Sep 23, 2026+17+30
Thu, Sep 24, 2026+15+30
Fri, Sep 25, 2026+18+50
Sat, Sep 26, 2026+21+40
Sun, Sep 27, 2026+21+40
Mon, Sep 28, 2026+16+10
Tue, Sep 29, 2026+30+30
Wed, Sep 30, 2026+21+30
Thu, Oct 1, 2026+12+10
Fri, Oct 2, 2026+1+00
Sat, Oct 3, 2026+19+10
Sun, Oct 4, 2026+7+10
Mon, Oct 5, 2026+7+10
Tue, Oct 6, 2026+13+30
Wed, Oct 7, 2026+14+40
Thu, Oct 8, 2026+13+50
Fri, Oct 9, 2026+43+50
Sat, Oct 10, 2026+61+130
Sun, Oct 11, 2026+52+80
Mon, Oct 12, 2026+40+70
Tue, Oct 13, 2026+28+40
Wed, Oct 14, 2026+23+10
Thu, Oct 15, 2026+26+80
Fri, Oct 16, 2026+30+60
Sat, Oct 17, 2026+95+290
Sun, Oct 18, 2026+265+140
Mon, Oct 19, 2026+383+350
Tue, Oct 20, 2026+124+200
Wed, Oct 21, 2026+58+70
Thu, Oct 22, 2026+45+20
Fri, Oct 23, 2026+31+60
Sat, Oct 24, 2026+23+20
Sun, Oct 25, 2026+30+30
Mon, Oct 26, 2026+29+30
Tue, Oct 27, 2026+10+80
Wed, Oct 28, 2026+1+00
Total+2,671+3700
  • 1#1 on the list
  • 7Rank that day
  • Not trending
1

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    All languages

    Nov 30, 2023 – Oct 18, 2026#1 on 2 days

    #1#5#10#15#20#25
    Top 10
    Dec 2023JunDecJunDecJun
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about mlabonne/llm-course, and every badge it has earned
    1. Oct 181 post

      • 想系统学 LLM？这门免费公开课今日 +81 star。 从原理到实战的 LLM 入门课程，不管学不学，收藏再说🤔 #AI #学习

        Read full on X, posted by @ieddysun

        @ieddysun · x.com

    2. 8 days earlier
    3. Oct 101 post

      • 2 Generative AI for Beginners Teaches GenAI fundamentals in structured lessons

        Read full on X, posted by @systemdesignone

        @systemdesignone · x.com

    4. Oct 91 post

      • 6 GitHub repos that take you from zero to production AI agents

        Read full on Reddit

        r/BestGitHubRepos

    5. Oct 61 post

      • Want to really understand LLMs (not just prompt them)? 6 free courses I'd start with 🧵 • Karpathy's Zero to Hero: build GPT from scratch, line by line

        Read full on X, posted by @pkulaohou

        @pkulaohou · x.com

    6. 21 days earlier
    7. Sep 151 post

      • 一个GitHub仓库被star了8万多次,把LLM从入门到精通东西讲透了还全程免费。 𝗟𝗟𝗠 𝗖𝗼𝘂𝗿𝘀𝗲（《大语言模型课程》） 链接： repo作者是Maxime Labonne,Liquid AI机器学习科学家,做LFM2系列模型的后训练,同时是《LLM Engineer's Handbook》作者之一。…

        Read full on X, posted by @Zen_with_AI

        @Zen_with_AI · x.com

    8. Sep 131 post

      • 想把Agent从会聊天做成能上线，这10个仓库够你练半年！ 全开源。先收藏。 1.Awesome LLM Apps 能跑的Agent和RAG，源码齐，clone就能看别人怎么落地。 2.Generative AI for Beginners 微软的课。生成式AI从零讲到能动手。 3.LLM Course 整条LLM栈，路线图加Colab，顺着点就能练。 4.Prompt Engineering…

        Read full on X, posted by @shanyanggm

        @shanyanggm · x.com

    9. 1 month earlier
    10. Aug 51 post

      • 5. Rasbt: build a large language model from scratch

        Read full on X, posted by @BuiltByNav

        @BuiltByNav · x.com

    11. 7 days earlier
    12. Jul 291 post

      • 7 Full Stack LLM Bootcamp UC Berkeley alumni teach you to ship real LLM apps: prompt eng, RAG, agents, LLMOps, deployment

        Read full on X, posted by @heyrimsha

        @heyrimsha · x.com

    13. Jul 282 posts

      • 2 Generative AI for Beginners Teaches GenAI fundamentals in structured lessons

        Read full on X, posted by @axiatechie

        @axiatechie · x.com

      • 2. 生成式AI初学者指南 通过结构化课程教你GenAI基础知识

        Read full on X, posted by @PromptLabCN

        @PromptLabCN · x.com

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