About the author

Wang Zhenli is a Chinese author of books on computer technology and artificial intelligence. Publicly available information about her is limited, and details such as her personal background, nationality, and dates of birth and death have not appeared in reliable sources. Judging from the three works held in the library, her writing focuses on learning and practicing cutting-edge technologies, covering three areas: AI agents, deep learning frameworks, and large-scale language models. Illustrated AI Agents: From Principles to Practice explains the fundamentals of agents and how to put them into practice through diagrams; TensorFlow Deep Learning: Models, Algorithm Principles, and Practice combines model building and algorithm explanation with hands-on practice; and Foundations and Practice of Large-Scale Language Model Development addresses the basic knowledge and engineering practice of large-model development. Overall, her books emphasize both principles and practice and are aimed at computer learners who wish to gain a systematic introduction and hands-on experience. They are commonly classified under general computer science and artificial intelligence.

Written (3)

Publishers

China Railway Publishing HousePeking University Press