Olalekan Elesin
Director of Data Science Platform at HRS Group
Book Recommendations:
Recommended by Olalekan Elesin
“This is by far the best book I have come across that makes building generative AI very practical. Antje, Chris, and Shelbee put together an exceptional resource that will be very valuable for years—if possible, converted to a learning resource for universities. Definitely a must-read for anyone building generative AI applications at scale on AWS.” (from Amazon)
by Chris Fregly, Antje Barth, Shelbee Eigenbrode·You?
by Chris Fregly, Antje Barth, Shelbee Eigenbrode·You?
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. Apply generative AI to your business use casesDetermine which generative AI models are best suited to your task Perform prompt engineering and in-context learningFine-tune generative AI models on your datasets with low-rank adaptation (LoRA)Align generative AI models to human values with reinforcement learning from human feedback (RLHF)Augment your model with retrieval-augmented generation (RAG)Explore libraries such as LangChain and ReAct to develop agents and actionsBuild generative AI applications with Amazon Bedrock