Collection of Notes, Guides, and Examples for Artificial Intelligence, Machine Learning, and Natural Language Processing
This personal project aims to document, study, and share practical and theoretical knowledge about AI, with a focus on:
- Python development
- Code examples and best practices
- Transformer models
- Using the PyTorch library
- ๐ Core concepts of Transformers: explanations and diagrams
- ๐ ๏ธ Python code examples using PyTorch and Transformers
- ๐ Techniques for text preprocessing and postprocessing
- ๐ Best practices for training and fine-tuning models
- ๐ References for further study
This library is Public Domain and can be freely shared and used by anyone.
Feedback and contributions are highly welcome!