BART Large is a denoising autoencoder at heart — it was trained by corrupting text and learning to reconstruct it, which makes it unusually good at understanding document structure and meaning. It excels at summarization and text generation tasks, producing coherent, fluent output even for longer inputs. It's a workhorse rather than a conversationalist, oriented toward transformation tasks rather than open-ended dialogue.