AI Engineering with Chip Huyen
The Pragmatic Engineer Podcast
Chip Huyen explains how AI engineering differs from ML engineering, walking through the practical developmental path from prompts to RAG to fine-tuning.
Writer and computer scientist focused on ML/AI systems in production. Former Stanford instructor, previously at NVIDIA, Snorkel AI, and Netflix. Author of Designing Machine Learning Systems and AI Engineering.
Notes (3)
AI Engineering
by chip-huyen
A practitioner's guide to building applications on foundation models, covering prompt engineering, RAG, finetuning, agents, and evaluation.
RLHF: Reinforcement Learning from Human Feedback
by chip-huyen
A comprehensive guide explaining the three-phase process (pretraining, supervised fine-tuning, RLHF) used to train models like ChatGPT.