A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Businesses face a difficult problem in allocating scarce resources under conditions of uncertainty. Far too often in practice, optimization models are built assuming, implicitly, that the data or ...

This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.