Generative AI: A Creative New World vs Hands-On Large Language Models
A side-by-side comparison of two Recommended reading AI agents - to help you pick the right one.
Generative AI: A Creative New World
Generative AI: A Creative New World is a detailed report exploring the generative AI landscape, covering its historical development, key technologies, and ecosystem dynamics. Authored by Sonya Huang, Pat Grady, and GPT-3, it serves as an educational resource for understanding the industry's evolution and potential.
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
| Generative AI: A Creative New World | 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 | Free | Paid |
Generative AI: A Creative New World: what it solves
Provides a structured overview of generative AI, helping readers grasp its technical foundations, market trends, and emerging opportunities.
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.