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/