Text summarization is an NLP task that creates a concise and informative summary of a longer text. LLMs can be used to create summaries of news articles, research papers, technical documents, and other types of text.
Summarizing large documents can be challenging. To create summaries, you need to apply summarization strategies to your indexed documents. You have already seen some of these strategies in the previous notebooks. If you haven't completed it, it is recommended to do so to have a basic understanding of how to summarize large documents.
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