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This invention describes a system that lets people ask questions in everyday language and get answers back in the same way. It works by first building a database from various documents, extracting specific pieces of information from them and storing them as records. When a question is asked, the system searches these records, analyzes the text to find the most relevant parts, and then uses those parts to construct a natural language answer.
Why it matters: Filed as Large Language Models (LLMs) were rapidly advancing. The sophisticated natural language generation, textual analysis, and information extraction capabilities described are now more robust and accessible through advanced LLM frameworks, simplifying implementation.
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