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Generative AI on AWS
book

Generative AI on AWS

by Chris Fregly, Antje Barth, Shelbee Eigenbrode
November 2023
Intermediate to advanced
312 pages
8h 15m
English
O'Reilly Media, Inc.
Audiobook available
Content preview from Generative AI on AWS

Chapter 1. Generative AI Use Cases, Fundamentals, and Project Life Cycle

In this chapter, you will see some generative AI tasks and use cases in action, gain an understanding of generative foundation models, and explore a typical generative AI project life cycle. The use cases and tasks you’ll see in this chapter include intelligent search, automated customer-support chatbot, dialog summarization, not-safe-for-work (NSFW) content moderation, personalized product videos, source code generation, and others.

You will also learn a few of the generative AI service and hardware options from Amazon Web Services (AWS) including Amazon Bedrock, Amazon SageMaker, Amazon CodeWhisperer, AWS Trainium, and AWS Inferentia. These service and hardware options provide great flexibility when building your end-to-end, context-aware, multimodal reasoning applications with generative AI on AWS.

Let’s explore some common use cases and tasks for generative AI.

Use Cases and Tasks

Similar to deep learning, generative AI is a general-purpose technology used for multiple purposes across many industries and customer segments. There are many types of multimodal generative AI tasks. We’ve included a list of the most common generative tasks and associated example use cases:

Text summarization

Produce a shorter version of a piece of text while retaining the main ideas. Examples include summarizing a news article, legal document, or financial report into a smaller number of words or paragraphs for faster consumption. ...

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Publisher Resources

ISBN: 9781098159214Errata Page