000			01862nam a22003737a 4500
003			IIITD
005			20251128192256.0
008			251119b |||||||| |||| 00| 0 eng d
020			_a9789355424969
040			_aIIITD
082			_a006.3 _bAMI-G
100			_aAminian, Ali
245			_aGenerative AI system design interview : _ban insider's guide _cby Ali Aminian and Hao Sheng
260			_aMumbai : _bShroff Publishers, _c©2024
300			_ai, 369 p. : _bcol. ill. ; _c25 cm.
500			_aIncludes references.
505			_tChapter 1: Introduction and Overview
505			_tChapter 2: Gmail Smart Compose
505			_tChapter 3: Google Translate
505			_tChapter 4: ChatGPT: Personal Assistant Chatbot
505			_tChapter 5: Image Captioning
505			_tChapter 6: Retrieval-Augmented Generation
505			_tChapter 7: Realistic Face Generation
505			_tChapter 8: High-Resolution Image Synthesis
505			_tChapter 9: Text-to-Image Generation
505			_tChapter 10: Personalized Headshot Generation
505			_tChapter 11: Text-to-Video Generation
520			_aDesigning 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.
650			_aGenerative AI
650			_aArtificial Intelligence
650			_aMachine Learning
700			_aSheng, Hao
942			_cBK _2ddc
999			_c209455 _d209455