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  • Generative AI System Design Interview

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Generative AI System Design Interview

by Ali Aminian (Author), Hao Sheng (Author) Format: Paperback
4.4 out of 5 stars (163)

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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.

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.

Table Of Contents
Chapter 1 Introduction and Overview
Chapter 2 Gmail Smart Compose
Chapter 3 Google Translate
Chapter 4 ChatGPT: Personal Assistant Chatbot
Chapter 5 Image Captioning
Chapter 6 Retrieval-Augmented Generation
Chapter 7 Realistic Face Generation
Chapter 8 High-Resolution Image Synthesis
Chapter 9 Text-to-Image Generation
Chapter 10 Personalized Headshot Generation
Chapter 11 Text-to-Video Generation
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  1. ISBN-10
    1736049143
  2. ISBN-13
    978-1736049143
  3. Publication date
    November 16, 2024
  4. Language
    English
  5. Dimensions
    7 x 0.85 x 10 inches
  6. Print length
    377 pages
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Product details

  • Publisher ‏ : ‎ ByteByteGo
  • Publication date ‏ : ‎ November 16, 2024
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 377 pages
  • ISBN-10 ‏ : ‎ 1736049143
  • ISBN-13 ‏ : ‎ 978-1736049143
  • Item Weight ‏ : ‎ 1.8 pounds
  • Dimensions ‏ : ‎ 7 x 0.85 x 10 inches
  • Best Sellers Rank: #28,331 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (163)

About the authors

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  1. Ali Aminian

    Ali Aminian

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    Full content visible, double tap to read brief content.

    Ali Aminian is an author and a Staff ML engineer with +10 years of expertise working in tech companies (Adobe, Ex-Google) building large-scale and distributed ML systems. He can be found online on LinkedIn: https://www.linkedin.com/in/aliiaminian

    See more on the author's page
  2. Hao Sheng

    Hao Sheng

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    Full content visible, double tap to read brief content.

    Hao Sheng is a researcher and engineer specializing in AI and machine learning with over 10 years of expertise. He holds a Ph.D. in Computer Engineering from Stanford University and has worked at OpenAI, Apple, TikTok, and Landing AI. His expertise spans recommendation systems, computer vision, and generative AI. Hao has also taught "Search and Recommendation Systems" at Stanford.

    See more on the author's page
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