Название: Generative AI System Design Interview
Автор: Ali Aminian, Hao Sheng
Издательство: ByteByteGo
Год: November 16, 2024
Страниц: 307
Язык: английский
Формат: pdf
Размер: 13.3 MB

Designing Generative AI (GenAI) systems for interviews can be complex and challenging. This book offers a clear and structured approach to help you tackle a wide range of GenAI system design questions. It provides a practical framework and real-world examples to make learning these concepts easier.

This book complements our ML System Design Interview book. While the first book focuses on topics such as search and recommendation systems, this one centers on generative systems, with detailed examples and explanations to help you understand how GenAI systems are built in practice.

This book is designed to help Machine Learning (ML) engineers and data scientists succeed in ML system design interviews, with a focus on Generative AI (GenAI). It complements the earlier book, “ML System Design Interview”, which covers conventional yet fundamental topics, such as search and recommendation systems. This book, however, explores GenAI applications and the unique challenges of designing such systems. It’s also intended to serve as a guide for those who want to understand how GenAI is applied in practical scenarios.

The Chapter 1 explores two key topics. First, it provides an overview of GenAI, delving into its fundamental concepts and applications. Then, it introduces a comprehensive framework for building ML systems, which is essential for real-world applications and interview preparation. This framework will serve as the foundation for developing popular GenAI systems in the following chapters.

What’s inside?
- An insider’s perspective on what interviewers are truly looking for and why.
- A 7-step framework to help you tackle GenAI system design interview questions.
- 10 real-world GenAI system design questions with in-depth solutions.
- 280+ diagrams to demystify complex GenAI systems.

Contents: