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Book Overview & Buying
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Table Of Contents
Amazon Redshift Cookbook - Second Edition
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In this recipe, you’ll explore how to use LLMs for tasks like sentiment analysis directly within Amazon Redshift by leveraging the integration with Amazon SageMaker Jumpstart. Amazon Redshift ML allows you to create ML models using SQL commands, and now, with LLM support, you can tap into powerful pre-trained models for text processing.
By following this recipe, you’ll learn how to deploy an LLM through SageMaker Jumpstart, connect it to Redshift ML, and perform advanced natural language processing tasks like sentiment classification on your data—all without the need to manage complex ML pipelines. This integration simplifies the use of generative AI for extracting insights from unstructured data in Redshift.
To complete this recipe, you will need: