Generative AI on AWS by O'Reilly Media Chapter 1 - Generative AI Use Cases, Fundamentals, Project Lifecycle Chapter 2 - Prompt Engineering and In-Context Learning Chapter 3 - Large-Language Foundation Models Chapter 4 - Quantization and Distributed Computing Chapter 5 - Fine-Tuning and Evaluation Chapter 6 - Parameter-efficient Fine Tuning (PEFT) Chapter 7 - Fine-tuning using Reinforcement Learning with RLHF Chapter 8 - Optimize and Deploy Generative AI Applications Chapter 9 - Retrieval Augmented Generation (RAG) and Agents Chapter 10 - Multimodal Foundation Models Chapter 11 - Controlled Generation and Fine-Tuning with Stable Diffusion Chapter 12 - Amazon Bedrock Managed Service for Generative AI Authors Chris Fregly Antje Barth Shelbee Eigenbrode Related Resources YouTube Channel: https://youtube.generativeaionaws.com Generative AI on AWS Meetup (Global, Virtual): https://meetup.generativeaionaws.com Generative AI on AWS O'Reilly Book: https://www.amazon.com/Generative-AI-AWS-Multimodal-Applications/dp/1098159225/ Data Science on AWS O'Reilly Book: https://www.amazon.com/Data-Science-AWS-End-End/dp/1492079391/
