Book for AI engineers
AI Engineering: Building Applications with Foundation Models
This book provides a comprehensive guide on AI Engineering, a new paradigm for developing applications with foundational models. Suitable for AI engineers and product managers looking to work effectively with these technologies.
Practical information:
- hours
Online
English
Target audience: AI-ingenieurs
Want to register?
- Prerequisites: Basiskennis van AI en machine learning is aanbevolen
- Price: 43-45
Georganiseerd door:
AI Engineering provides insight into building applications with foundational AI models. Chip Huyen explains how these new technologies broaden access to AI for a wider audience. This book addresses both technical and strategic aspects that are important for developing successful AI solutions.
What you will learn
- The distinction between AI Engineering and traditional ML Engineering
- Model adaptation techniques such as prompt engineering and fine-tuning
- Evaluation methods for open-ended AI models
- Choosing the right models and datasets for your applications
Why this book?
This book is a must-read for anyone looking to upgrade their AI skills and learn how to effectively design and implement AI applications.
Teacher / speaker
Chip Huyen
Iām Chip Huyen, a writer and computer scientist. I grew up chasing grasshoppers in a small rice-farming village in Vietnam.
I work to bring AI to production. Previously, I worked on ML tooling at NVIDIA (core dev of NeMo), Snorkel AI, and Netflix. I also founded and sold an AI infra company.
I build micro tools to make me more productive. Some of them are public like GoodAIList (discovering open source AI), KilledByGPT (product defensibility as a game), and lazynlp (building massive text datasets).
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