Generative AI System Design Interview

Aminian, Ali; Sheng, Hao

ISBN 10: 1736049143 / ISBN 13: 9781736049143

Edité par ByteByteGo, 2024

A propos de cet article

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâ re not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

N° de réf. du vendeur OTV.1736049143.VG

Détails bibliographiques

• Titre: Generative AI System Design Interview
• Éditeur: ByteByteGo
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1736049143
• ISBN à 13 chiffres: 9781736049143
• Reliure: Couverture souple
• État de l'article: very_good

A propos de ce titre

Synopsis

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