Hoper-J / AI-Guide-and-Demos-zh_CN
This is a step-by-step guide for getting started with AI/LLM large models. It includes tutorials and demonstration codes, taking you from API to local large model deployment and fine-tuning. The code files will provide Kaggle or Colab online versions, so you can learn even without a graphics card. The project also opens a small code playground🎡, where you can try to experiment with some interesting AI scripts. At the same time, it includes the complete Chinese mirror assignment of HUNG-YI LEE's 2024 Introduction to Generative Artificial Intelligence course.
- Repository stars
- 4,797All-time #12,637
- Fork
- 492
- Last push
- updated 11 days ago
- Repository created
- since 2024
About
这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。Summarised by AI from the README; the original prevails
Author description: This is a step-by-step guide for getting started with AI/LLM large models. It includes tutorials and demonstration codes, taking you from API to local large model deployment and fine-tuning. The code files will provide Kaggle or Colab online versions, so you can learn even without a graphics card. The project also opens a small code playground🎡, where you can try to experiment with some interesting AI scripts. At the same time, it includes the complete Chinese mirror assignment of HUNG-YI LEE's 2024 Introduction to Generative Artificial Intelligence course.
Basic listing based on official public information; functionality has not been independently evaluated.
- Platform
- Not verified
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
- Maintenance notes
- Not verified