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Prompt Engineering Best Practices: Text Summarization & Information Retrieval
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Prompt Engineering Best Practices: Text Summarization & Information Retrieval

Last Updated on April 22, 2024 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

In today’s fast-paced world, we’re inundated with an overwhelming amount of text, leaving little time to read everything we desire. A fascinating application of large language models is their use in text summarization and information retrieval.

Multiple teams are incorporating this feature into various software applications, including the chatGPT web interface. You can utilize LLM to summarize articles, enabling you to consume the content of numerous articles more efficiently. If you’re interested in a more programmatic approach, this article guides how to achieve that using prompt engineering.

Setting Working Environment & Getting StartedSummarize with Specific PurposeInformation RetrievalSummarize Multiple Texts

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