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Generative AI System Design Interview

Original price was: $45.00.Current price is: $39.98.

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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
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: #13,763 in Books (See Top 100 in Books) #4 in Business Intelligence Tools #7 in Databases & Big Data #8 in Computer Neural Networks
Customer Reviews: 4.4 4.4 out of 5 stars 97 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });

Customers say

Customers find the book extremely useful as a guide to learn about generative AI, providing a high-level overview of the field with step-by-step explanations that start simple and gradually build up to complex concepts. They consider it a must-read for Gen-AI enthusiasts. The book receives mixed feedback regarding its focus on system design.

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