Автор: Richard Heimann
Издательство: Manning Publications
Год: 2025
Страниц: 108
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
AI is transforming the world faster than we could have imagined. But how did we get here? AI guru Ilya Sutskever made the bold claim that most of what you need to know about modern AI is captured in 30 seminal research papers on Deep Learning. What did Ilya see? Read through Sutskever’s List and you’ll uncover the breakthroughs, ideas, and mental models that shaped his vision and much more, all clearly explained and interpreted by veteran author and teacher Richard Heimann. You’ll discover: - The technical breakthroughs that have shaped AI strategy, safety, and cultural shifts; - How to decode landmark AI papers—from AlexNet to Transformers; - Engineering patterns and design choices that scale from research to real-world systems; - Evaluating the strengths and limits of deep learning without falling for hype or cynicism; - Applying Sutskever’s mental models to forecast and navigate future AI trends. For anyone interested in modern AI and Deep Learning.