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

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781804614426
Edition2nd Edition
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Gareth Eagar
Gareth Eagar
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Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
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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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Data Engineering with AWS - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

Author (1)

author image
Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar