aws-samples/techniques-for-automatic-summarization-of-documents-using-language-models
Different summarization techniques that you can apply on your corpus using language models
This project helps you automatically condense large amounts of text from your documents into shorter, easier-to-read summaries. It takes your collection of documents as input and outputs concise versions, allowing you to quickly grasp the main points without reading everything. This is useful for anyone who deals with a high volume of textual information, like researchers, analysts, or content managers.
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Use this if you need to quickly get the gist of many documents or if you want to create shorter versions of lengthy texts efficiently.
Not ideal if you need perfectly nuanced summaries where every detail must be preserved, or if your documents contain highly specialized jargon that general language models might misunderstand.
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Jupyter Notebook
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MIT-0
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Last pushed
Nov 22, 2023
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