by PipiHi0926 · Agent Tool · ★ 73
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🤖 大型語言模型入門教學 中文分享整理 💻 ✍️ 作者: 鄭永誠 • ✉️ 信箱 • 🧑🤝🧑 合作夥伴: 紫式大數據決策 • 👫 我的朋朋: Morale AI 內容簡介: 🍻 LLM基礎改念: 本讀書會將整理一些LLM的基礎需求知識，但github上放的是實作資源為主不會講述太多，有興趣請再密我 🛠️ LLM相關工具: 以下內容全基於python實踐，同時會分享相關資源、套件、開源API... 💬 LLM系統架構: 會帶你由淺入深，慢慢了解部屬LLM系統(多Agent)的方向和一些好用工具 這個分享內容宗旨: 🧩 讓你好上手: 提供最簡單的、盡可能可複製即用的code，讓新手也能盡可能快速入門 (而且是中文XD) 🎈 讓你免費玩: 全基於開源資源，讓你能夠無痛體驗LLM的功能和操作 😊 讓你喜歡上: 盡量提供簡單有趣的小例子，附上完整註解說明，讓你也能喜歡LLM可帶來的運用 範例使用版本/輔助工具: Python 3.12.4 語言模型主要使用 llama-3.1-70b-versatile 個人主要使用 IDE: VScode 搭配工具 寫程式大幫手 Copilot 其他: 使用 pylint 擴充套件來管理 Python 程式碼的風格 主要資料來源: 💻 資料來源1: 偉大的Github 🤗 資料來源2: 偉大的抱抱臉 👨 巨人的肩膀: LLM相關工具大整理 課程內容 (因分享會有搭配我的簡報才會以這個架構講述，實際上這些課程無直接連貫性!!!) ✔️ Part 0: LLM 導論 (Instruction) (這些皆以前讀書會簡報內容，恕此處跳過) 💡本章節讓你從0開始，讓你了解AI到底是啥、LLM基礎原理到底是怎麼運作的， 以及了解踏入LLM這塊領域時你必須了解的相關的名詞和知識
| Stars | 73 |
| Forks | 9 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 33/100 |
| Last Updated | 2024-09-08 |
| Created | 2024-08-09 |
| Est. Tokens | ~4962k |
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llm-course-zh is 大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等. It is categorized as a Agent Tool with 73 GitHub stars.
llm-course-zh is primarily written in Jupyter Notebook. It covers topics such as generative-ai, groq, groq-api.
You can find installation instructions and usage details in the llm-course-zh GitHub repository at github.com/PipiHi0926/llm-course-zh. The project has 73 stars and 9 forks, indicating an active community.
The top alternatives to llm-course-zh on Agent Skills Hub include palico-ai, oreilly-ai-agents, ai-playground. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.