The paper proposes a new method for generating text, called "BART". BART is based on a transformer model, and it is trained on a large corpus of text data. The paper shows that BART can generate text that is fluent, informative, and coherent. It also shows that BART can be used for a variety of tasks, such as summarization, translation, and question answering.
What is a histogram?
What is the difference between supervised and unsupervised learning?
What is the goal of data analysis?
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