دانلود کتاب مهندسی عملکرد سیستم‌های هوش مصنوعی

In the vibrant streets of San Francisco, where innovation is as common as autonomous vehicle traffic on US Route 101, we find ourselves surrounded by an amazing world of artificial intelligence. Rapid advancements in AI are redefining our daily lives in every aspect. Over the last 20 years, we’ve experienced recommendation engines (2000s), AI assistants (2010s), and fully autonomous vehicles (2020s). The 2030s are going to be even more exciting, as AI is progressing extremely quickly and with massive societal influence. My personal journey into the fast-moving AI systems performance engineering field was driven by a curiosity to understand the delicate balance and codesign between cutting-edge hardware, highly optimized software, and clever algorithms that power such complex systems and impactful use cases. This realization inspired me to dive deep into the realm of “full-stack” AI performance engineering. I wanted to understand how multiple components like processors, memory architectures, network interconnects, operating systems, and software frameworks all work together in harmony. The complexity of these interactions presented the challenges—and opportunities—that fueled my desire to dive deep and explore this unique combination of technologies. This book is a realization of my explorations throughout the years as a hands-on ML and AI performance engineer. I created this book for engineers, researchers, practitioners, and enthusiasts who are eager to understand the underpinnings of AI systems performance at all levels. Readers might be building AI applications, optimizing neural network training strategies, or designing and managing scalable inference servers, or they may simply be fascinated by the mechanics of modern AI systems. Overall, this book provides the insights that bridge theory and practice across multiple disciplines.