Alex Strick van Linschoten

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Skills that guide AI coding agents to help you build product-specific AI evals.

Deploy a ML inference service on a budget in less than 10 lines of code.

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Open Source Data Annotation & Labeling Tools

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!