What does "Text-to-text" mean?

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Text-to-text is a method where one piece of written information is transformed into another form of writing. This can include changing the style, summarizing content, or expanding on ideas found in the original text. The goal is to take the input text and produce an output that still conveys the same meaning but may look different or serve a different purpose.

This approach is useful in various tasks like creating summaries, generating responses to questions, or converting informal language into a more formal style. By treating all forms of writing as related tasks, models can learn to handle different types of text more efficiently. This leads to improved performance across different applications while reducing the need for separate systems for each task.

Overall, text-to-text techniques make it easier to work with written content in many ways, allowing for smoother interactions with information.