mac999/AI_foundation_tutorial

AI foundation and trend seminar tutorial with code

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/ 100
Emerging

This tutorial helps individuals understand and implement foundational AI concepts, machine learning, deep learning, and large language models (LLMs). It takes complex AI theories, code, and development mechanisms as input and provides practical, hands-on experience, primarily through Jupyter Notebooks. It's designed for someone looking to build a deep understanding of how modern AI models work from the ground up.

Use this if you want to gain a strong practical understanding of AI, machine learning, and deep learning fundamentals, including how to build models like Transformers and LLMs.

Not ideal if you are looking for a plug-and-play solution for a specific business problem without needing to understand the underlying AI mechanisms.

AI education Machine Learning training Deep Learning Natural Language Processing Large Language Models
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 17 / 25

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Stars

24

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

Oct 25, 2025

Commits (30d)

0

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