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🤯 Did You Know (click to read)
BART and T5 achieve state-of-the-art results by combining pretrained Transformers with fine-tuning on summarization datasets.
The encoder-decoder Transformer reads full input sequences, and the decoder generates summaries token by token, attending to the most important content. Multi-head attention allows the model to highlight key sentences, improving fluency and informativeness.
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💥 Impact (click to read)
Abstractive summarization enables rapid understanding of long documents, news articles, and research papers.
Students, researchers, and professionals can quickly extract essential information without reading the full text.
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