ai-engineering-resources

Why we included this project

This repo gathers the papers and write-ups a working software engineer actually wants when moving into AI work. It skips the usual blog-link dump and instead groups the primary sources by the problems you meet in practice, from tokenization and vectorization through infrastructure, model architecture, and reasoning. Because each section links to the original paper or design note, you read the canonical material rather than a secondhand summary. For engineers who already ship software and want to map their skills onto the transformer stack, it works as a structured reading path covering both the theory and the engineering realities.