The BART model is a new way to train computers to understand and generate human language. It works by teaching the computer to fix mistakes in text, like jumbled sentences or missing words. BART can be used for tasks like writing, translating, and understanding text. When tested, BART performed as well as other advanced language models on various tasks, like answering questions and summarizing information. It even improved machine translation without needing extra training. Overall, BART shows promise in making computers better at working with human language.