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This invention describes a computer system that can understand large amounts of written text and answer complicated questions about it. It works by converting both the text and the questions into a special multi-dimensional data format, then comparing these formats to find answers. The system can also look up unfamiliar words to improve its understanding. The claims narrow this to a system that uses multiple computers working together to process many text sources at once.
Why it matters: Filed before the advent of large language models (LLMs), which now provide the sophisticated multi-dimensional data modeling and comprehension capabilities envisioned. The parallel processing architecture described is also highly relevant to modern LLM training and inference infrastructure.
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