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2025

In June 2025, I successfully defended my master thesis, which provides a mathematical description on Training Large Language Models. While most resources online omit gradient derivation, my thesis aims to provide a complete description. Alongside, a Python implementation is provided making use of AutoCompyute.

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2025

AutoCompyute is a deep learning library that provides automatic differentiation using only NumPy as the backend for computation (CuPy can be used as a drop-in replacement for NumPy). It is designed for simplicity and performance and enables you to train deep learning models with minimal dependencies while leveraging GPU acceleration.

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2024

An implementation of the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale in PyTorch.

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