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:
- Prompt LLMs in the generative AI hub in SAP AI Core & Launchpad (the "Text Summarization" section)