by Chris Fregly, Antje Barth, Shelbee Eigenbrode
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 cases
- Determine which generative AI models are best suited to your task
- Perform prompt engineering and in-context learning
- Fine-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 actions
