AI Engineering

A PRESENTATION BY Chip Huyen
Online Event via Zoom

Abstract:

The hardest part of AI engineering is neither AI nor engineering. This talk first discusses how building with foundation models differs from traditional ML, and where it stands with product and full-stack engineering. It then discusses the antipatterns commonly seen in building AI applications, with counterintuitive examples!

Bio:

Chip Huyen runs Tep Studio at the intersection of AI, education, and storytelling. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup (acquired), and taught Machine Learning Systems Design at Stanford.

She was a core developer of NeMo, NVIDIA’s generative AI framework.

Her first English book, Designing Machine Learning Systems (2022), is an Amazon bestseller in AI and has been translated into 10+ languages. Her new book, AI Engineering (2025), has been the most-read book on the O’Reilly platform since its launch.

If you are an individual with a disability and desire an accommodation, welcome! Please email ylchen@vt.edu at least 10 days prior to the event.