datawhalechina/llm-preview

理工科-大模型入门实训课程

44
/ 100
Emerging

This course helps science and engineering students bridge the gap between theoretical understanding of large language models (LLMs) and practical application. It takes learners through core LLM principles and hands-on practice, covering everything from effectively using prompts to fine-tuning models. It's designed for university students in fields like Computer Science, Data Science, and Engineering who want to build practical AI skills.

117 stars. No commits in the last 6 months.

Use this if you are a science or engineering student who wants to move beyond LLM theory and gain practical skills in prompt engineering, API integration, model deployment, and fine-tuning.

Not ideal if you lack basic programming skills (especially Python) or foundational knowledge of machine learning and deep learning concepts.

AI Education LLM Training Prompt Engineering Model Fine-tuning AI for Engineers
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

117

Forks

18

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Aug 24, 2025

Commits (30d)

0

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