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.
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
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First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonTypeScript
About this projectThis 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.An educational project containing coding curricula and learning-platform code.
Measured at2026-11-03 09:36 UTC2026-11-02 19:21 UTC
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