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Generative AI system design interview : an insider's guide

By:

Aminian, Ali

Contributor(s):

Sheng, Hao

Material type: Text

9789355424969

Subject(s):

DDC classification:

006.3 AMI-G

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

Summary: Designing generative AI (GenAI) systems for interviews can be a complex and challenging task. 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD Reference	Competitive Exams	REF 006.3 AMI-G (Browse shelf(Opens below))	Not for loan		013646

Total holds: 0

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Previous	REF 005.133 KAR-D Data structures and algorithms made easy Data structure and algorithmic puzzles	REF 005.133 KAR-D Data structures and algorithmic thinking with python : data structure and algorithmic puzzles	REF 005.133 MAR-J Java programming interviews exposed	REF 006.3 AMI-G Generative AI system design interview : an insider's guide	REF 006.31 AMI-M Machine learning system design interview : an insider's guide	REF 153.94 AGG-Q Quantitative aptitude	REF 330.095 SIN-I Indian economy : for civil services, universities and other examinations	Next

Includes references.

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

Designing generative AI (GenAI) systems for interviews can be a complex and challenging task. 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.

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