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Data Engineering with AWS - Second Edition

You're reading from  Data Engineering with AWS - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781804614426
Pages 636 pages
Edition 2nd Edition
Languages
Author (1):
Gareth Eagar Gareth Eagar
Profile icon Gareth Eagar

Table of Contents (24) Chapters

Preface Section 1: AWS Data Engineering Concepts and Trends
An Introduction to Data Engineering Data Management Architectures for Analytics The AWS Data Engineer’s Toolkit Data Governance, Security, and Cataloging Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations
Architecting Data Engineering Pipelines Ingesting Batch and Streaming Data Transforming Data to Optimize for Analytics Identifying and Enabling Data Consumers A Deeper Dive into Data Marts and Amazon Redshift Orchestrating the Data Pipeline Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning
Ad Hoc Queries with Amazon Athena Visualizing Data with Amazon QuickSight Enabling Artificial Intelligence and Machine Learning Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World
Building Transactional Data Lakes Implementing a Data Mesh Strategy Building a Modern Data Platform on AWS Wrapping Up the First Part of Your Learning Journey Other Books You May Enjoy
Index

Common use cases for LLMs

LLMs by design are very versatile, meaning that this technology can be applied to many different potential use cases. For example, you could create a chatbot application that makes use of LLM technology and acts like an unhappy customer. You could then use this as part of the training for your call center staff, to train them on dealing with unhappy customers and evaluate how well they handle the “customer.”

You could also build a Q&A chatbot that is connected to some of your internal datasets (such as FAQ documents), enabling users to ask questions using natural language and to get answers that come from your official corporate documents.

There are many other common use cases, as well as many use cases that are yet to be discovered. To review some of the common use cases and understand how you can use Amazon Bedrock for these use cases, see the Amazon Bedrock workshop at https://github.com/aws-samples/amazon-bedrock-workshop....

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