This invention describes a computer system designed to answer questions by evaluating content. It works by taking a natural language request, breaking it into parts like subjects, verbs, and objects, and then finding corresponding computer code snippets. The system then executes these snippets in the requested order to achieve a final outcome for the question.
Why it matters: Filed before large language models could interpret natural language and generate code. LLMs now make the natural language decomposition, code snippet identification, and execution ordering significantly more robust and automated.
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