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Summarization of Text

Food for Thought​

Generative AI models can generate a concise summary of a given text.

Example​

A long thread of a product support customer issue is summarized for a customer service employee.

Key Questions​

  • What processes and tasks produce or consume long text?
  • Who needs to get a summary of those texts?
  • How is the summary leveraged?

Implementation​

Summarizing text can be achieved with a prompt on a foundation model, particularly a large language model. Here you find how to access a foundation model in SAP BTP to implement a use-case that includes "Summarization of Text" as an AI functional capability.

After you have access to a foundation model, you can use this learning journey to implement summarization:

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