Abstract

Complete coverage of the knowledge that makes generative AI a weapon.

This book provides a comprehensive overview of the knowledge and know-how needed to ride the wave of AI, starting with the basics of machine learning and LLM, which support AI, and how sentences and images are generated from natural language, The book also covers the know-how and issues involved in implementing and operating AI, global trends in LLM, examples of AI applications in different industries, and future prospects.

Author’s Information

Professor Shirabe Ogino, Ph.
Professor Ogino is a graduate of Harvard University, where he earned his Master's degree in Computer Science, and his Doctorate in Business Administration from the University of Tokyo. In his 30s, he worked for Sumitomo and Itochu venture capital firms, making domestic and international investments, and in his 40s, he worked for GREE, building global businesses, forming strategic alliances with Yahoo/KDDI and other companies, investing in game companies and launching businesses. In his 40s, he was engaged in strategic alliances with Yahoo/KDDI, investment in game companies, and business launches at GREE. In his 50's, he led a special team of AI engineers and eminence at a major consulting firm and a business company, and promoted productization and service development using generative AI. He is a board member of the FinTech Association (2016-2020). He is also a member of the Cloud AI Expression Technology Examination Committee (2021-).

Shinya Koizumi
Mr. Koizumi has experience in a wide range of projects at a major telecommunications company, including large-scale network construction, web application development on cloud infrastructure, and AI technology verification. Later, at Deloitte Tohmatsu Consulting G.K., he worked as an architect and team lead on building data analysis infrastructure, developing applications using public blockchain, and developing generative AI applications. Currently, he is a team lead for generative AI technology at Deloitte Tohmatsu Node LLC. His publications include “Introduction to Web3 Development for Engineers” (Impress).

Takashi Kubota Ph.
Takashi Kubota received his Ph.D. in Physics from the University of Tokyo in 2011. During his time in the program, he built a detector for new particle searches using a new accelerator at the European Organization for Nuclear Research (CERN) and conducted physics analysis using the initial data. He received the High Energy Physics Award (2011) and the Young Scientist Award (2012) from the Japanese Physical Society. After receiving his degree, he continued his research in elementary particle physics as a researcher at the University of Melbourne, where he contributed to the study of the Higgs particle discovered at CERN in 2012 and was awarded several competitive grants from the Australian Research Council to pursue his own research projects. He returned to Japan in 2018, worked for several professional firms, and joined Deloitte Tohmatsu Consulting LLC in 2021. He currently leads the LLM technical validation team in the Resident AI special team.

Takayuki Ootsuka
He was engaged in new business development at a telecommunications carrier, where he was in charge of planning and development of location-based services for cell phones and accommodation reservation sites. Later, he established a point marketing division at an advertising agency and successfully expanded the commissioned operation of a point club site and the affiliate business of the company's own media. From 2022, he will join the CSIO Office of Deloitte Tohmatsu Consulting, LLC. In 2022, he joined the CSIO Office of Deloitte Tohmatsu Consulting LLC, where he will lead the construction of the People Analytics platform for HR consulting services and the business process reform project (application planning) using generative AI (his current position).