mindspore-lab/step_into_llm
A MindSpore technical course series teaching large language model fundamentals through Jupyter notebooks.
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This repository hosts a structured course series on large language models offered by Huawei’s MindSpore ecosystem. The curriculum covers LLMs including LLaMA, ChatGLM, and BERT, teaching concepts such as RLHF, PEFT, prompt-tuning, and MoE architectures. Materials include Jupyter notebooks with code examples, PPT slides, and video lecture archives covering both theoretical concepts and hands-on development.
Frequently asked
- What is mindspore-lab/step_into_llm?
- A MindSpore technical course series teaching large language model fundamentals through Jupyter notebooks.
- Is step_into_llm open source?
- Yes — mindspore-lab/step_into_llm is open source, released under the Apache-2.0 license.
- What language is step_into_llm written in?
- mindspore-lab/step_into_llm is primarily written in Jupyter Notebook.
- How popular is step_into_llm?
- mindspore-lab/step_into_llm has 480 stars on GitHub.
- Where can I find step_into_llm?
- mindspore-lab/step_into_llm is on GitHub at https://github.com/mindspore-lab/step_into_llm.