The Summarization category of GPTs (Generative Pre-trained Transformer) allows for summarization of lengthy text. This involves breaking down a piece of text into its key points or ideas, and then rephrasing and reformatting those points into a shorter text that summarises the original article. GPTs use a natural language processing technique called “masking” to do this, which involves scanning the text and identifying the most important points or phrases.
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