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🤯 Did You Know (click to read)
Sparse attention in Longformer allows processing sequences over 4,000 tokens, significantly exceeding the standard Transformer input length.
These Transformers implement sparse attention patterns that reduce computational complexity from quadratic to linear, allowing sequences of thousands of tokens. This enables processing of long documents, legal texts, and full-length research articles without truncation.
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💥 Impact (click to read)
Long document Transformers improve summarization, question answering, and information extraction from texts that exceed standard Transformer limits.
Students, researchers, and professionals can analyze and summarize extensive documents efficiently with AI assistance.
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