Richard Heimann
Sutskever's List
Sutskever's List
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Modern artificial intelligence can seem complex, but it is built on clear ideas. Understanding these basics helps you see how AI works. Many people are curious, but research papers are often hard to read. This book gives you a clear way to understand the key ideas behind AI. It explains complex concepts in a simple way.
- Understand the key technical breakthroughs that shaped AI strategy, safety and real-world impact.
- Learn how to read and understand landmark AI papers like AlexNet and Transformers.
- Explore engineering patterns that scale from research to real-world systems.
- Evaluate the strengths and limits of deep learning.
- Apply proven mental models to understand and plan future AI trends.
Sutskever's List: Foundational ideas of modern AI is your guide to the core concepts of deep learning. The book is based on a famous list of essential papers. It summarises the key insights from each paper in simple, easy-to-read language.
You will discover the history of deep learning through its most important breakthroughs. You will explore ideas such as image recognition, generative models and large language models without needing to read dense academic texts. This book is for anyone interested in modern AI and deep learning.
- Publication date: 2 September 2026
- Page count: 336
- Dimensions: Height 235 mm; Width 189 mm; Thickness 18 mm
- Publisher: Manning Publications
- Format: Paperback
- ISBN-13: 9781633434790
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