Summarize long articles into concise and meaningful summaries using the BART model.
BART (Bidirectional and Auto-Regressive Transformer) is a sequence-to-sequence model that combines the strengths of both BERT and GPT. It features a bidirectional encoder, similar to BERT, which understands context deeply, and an autoregressive decoder, like GPT, which generates text efficiently.
Pre-trained using a denoising objective, BART reconstructs original text from corrupted input, making it highly effective for text generation tasks such as summarization, translation, and question answering.
Enter a passage, and the AI will generate a concise summary.