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.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonJupyter Notebook
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.Microsoft's introductory curriculum on classical machine learning.
Measured at2026-11-03 09:36 UTC2026-11-02 19:28 UTC
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