Skip to content

Latest commit

 

History

History
83 lines (58 loc) · 3.83 KB

README_en.md

File metadata and controls

83 lines (58 loc) · 3.83 KB
Raw

glm glm-cookbook

中文版本

Welcome to the GLM API Model Beginner's Warehouse in Exploration 📘。 This is an open-source GLM API introductory code textbook.

Here, you will find rich code examples 👨,Practical Guide 🗺 And resource links 🔗， Perhaps it can help you easily master the use of GLM API!

Recent Update 🔥

  • 🔥🔥 2024-10-10: This CookBook has been updated with the Video Understanding Tutorial, allowing you to understand a video directly without splitting it into multiple images.
  • 🔥 2024-10-01: This CookBook has been updated with the Multi-Tool Invocation Tutorial. Please update the dependencies in requirements.txt. Feel free to check it out.
  • 🔥 2024-09-26: This CookBook has been updated with the GraphRAG Tutorial. You are welcome to explore it.
  • 🌱 2024-03-06: The organization MetaGLM has updated SDKs in 4 languages (Python, Java, C#, Node.js). Feel free to provide feedback and contribute to the project through PR!

Quick Start 🚀

  1. To start using the GLM API, you first need a GLM API account and the corresponding API key. If you don’t have an account yet, you can register for free here.

  2. My code is based on Python, Jupyter Note, but the same concept can be applied to other programming languages (but you may have to implement it yourself). These code examples are intended to help me (and perhaps you) how to use the GLM API efficiently to complete common simple tasks. It is recommended to use Python 3.9 - 3.12 version (my own is Python 3.10). You need to install the necessary dependencies to better use the Demo. You can use the following command to install total dependencies:

pip install -r requirements.txt
  1. By the way, I usually use ✅GLM4 to complete tasks. I also recommend you to use this model!

Warehouse file 📂

I have classified multiple folders, each of which has its own content. You can view it according to your needs!

  • 🌱basic The most basic content is just a successful call.

  • 👁️vision About multi-modal calls and basic applications.

  • 🔧finetune Maybe you can come here to find fine-tuning content?

  • 🎉demo Some interesting demos, which may inspire some inspiration.

    • 🤖agent Let’s see how powerful the agent at the press conference is!
    • 📚data The data needed to run the demo.

  • 📊glms GLMs (Zhipu Qingyan) area, even if you don’t know how to code, you can quickly get started!

  • 🏠asset Some related picture information.

You can quickly understand the structure of this warehouse through the following pictures. I will update the latest experiments and teaching content of Zhipu AI SDK as soon as possible.

Implementation schematic diagram

Open Source SDK

The GLM-4 series SDK has been open source. If you want to make modifications directly on our SDK, you can make the modifications at the following address:

Contribution Guide 🤝

Everyone is welcome to contribute your own ideas and code! If you have any suggestions or want to add your own code, please feel free to submit a Pull Request or open an Issue for discussion. If you like this repository, feel free to give it a ⭐, it will help me a lot!