Generative Ai On Aws Early Release Antje Barth Chris Fregly Shelbee Eigenbrode by Antje Barth & Chris Fregly & Shelbee Eigenbrode. 9781098159214, 1098159217 instant download after payment.

You'll learn the generative AI project lifecycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), model quantization, optimization, and deployment. You'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and video. You'll also be able to make better-informed decisions for your company regarding generative AI and learn how to build working prototypes quickly. While the focus is on AWS, this book is a great resource for learning generative AI fundamentals and applying these models to real-world applications.

Apply generative AI to your business use cases

Determine which generative AI models to use based on the task

Perform prompt engineering and in-context learning

Fine-tune generative AI models on your datasets

Align generative AI models to human values with reinforcement learning from human feedback

Use techniques like retrieval-augmented generation to augment your model

Explore libraries such as LangChain and React to develop agents and actions

Learn about multimodal models such as Stable Diffusion for image and video generation

Get hands-on with Amazon Bedrock, the AWS generative AI managed service