Designing Machine Learning Systems vs Hands-On Large Language Models
A side-by-side comparison of two Recommended reading AI agents - to help you pick the right one.
Designing Machine Learning Systems
Designing Machine Learning Systems is a book by Chip Huyen that serves as a comprehensive guide to building and deploying machine learning systems in production. It covers practical aspects of ML system design, including data management, model training, and infrastructure considerations.
Hands-On Large Language Models
Hands-On Large Language Models is a practical guide offering visual walkthroughs and hands-on examples for understanding and working with large language models (LLMs). It covers foundational concepts, implementation techniques, and real-world applications of LLMs. The book is authored by Jay Alammar and Maarten Grootendorst, known for their expertise in AI and machine learning education.
Feature comparison
| Designing Machine Learning Systems | Hands-On Large Language Models | |
|---|---|---|
| Category | Recommended reading | Recommended reading |
| Open source | Not publicly specified | Not publicly specified |
| Self-hostable | Not publicly specified | Not publicly specified |
| Skill level | Intermediate | Intermediate |
| Pricing | Paid | Paid |
Designing Machine Learning Systems: what it solves
Provides a structured approach to designing and maintaining scalable, reliable machine learning systems in real-world production environments.
Hands-On Large Language Models: what it solves
Provides accessible, practical guidance for individuals looking to learn and apply large language models without extensive prior expertise.