Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.
You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images.
About the authors
Antje Barth is a Principal Developer Advocate for generative AI at AWS. She is co-author of the O’Reilly books – Generative AI on AWS and Data Science on AWS. Antje frequently speaks at AI/ML conferences, events, and meetups around the world. She also co-founded the Düsseldorf chapter of Women in Big Data.
Chris Fregly is a Principal Solutions Architect for Generative AI at Amazon Web Services (AWS) based in San Francisco, California. Chris holds every AWS certification. He is also co-founder of the global Generative AI on AWS Meetup. Chris regularly speaks at AI and Machine Learning meetups and conferences across the world. Previously, Chris was an engineer at Databricks and Netflix where he worked on scalable big data and machine learning products and solutions. He is also co-author of the O'Reilly book, Data Science on AWS.
Shelbee Eigenbrode is a Principal Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She’s been in technology for 24 years spanning multiple roles, industries and technologies. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. She’s a published author as well as co-creator/instructor for ‘Practice Data Science on the AWS Cloud Specialization’ and ‘Generative AI with Large Language Models’ on Coursera. Shelbee is based in Denver, CO and is also the Co-Director of the Denver, Colorado chapter of Women in Big Data.
