Large model retrieval enhancement generation method and device
The embodiment of the invention provides a large model retrieval enhancement generation method and device, and the method comprises the steps: obtaining a first problem, and coding the first problem to obtain a first problem vector; determining a first vector according to the first problem vector; d...
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Main Authors | , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.08.2024
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Abstract | The embodiment of the invention provides a large model retrieval enhancement generation method and device, and the method comprises the steps: obtaining a first problem, and coding the first problem to obtain a first problem vector; determining a first vector according to the first problem vector; determining a second vector according to the first vector; processing the second vector through a large language model to obtain a target answer; when the type of the first vector is a text vector, the first vector represents at least one text block vector formed by combining at least one text block vector and corresponding context information, and the at least one text block vector is a text block vector related to a first problem vector retrieved in a vector database; when the type of the first vector is a problem vector, the first vector comprises one of the following items: at least one second problem vector meeting a similarity condition with the first problem vector in the vector database, at least one third p |
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AbstractList | The embodiment of the invention provides a large model retrieval enhancement generation method and device, and the method comprises the steps: obtaining a first problem, and coding the first problem to obtain a first problem vector; determining a first vector according to the first problem vector; determining a second vector according to the first vector; processing the second vector through a large language model to obtain a target answer; when the type of the first vector is a text vector, the first vector represents at least one text block vector formed by combining at least one text block vector and corresponding context information, and the at least one text block vector is a text block vector related to a first problem vector retrieved in a vector database; when the type of the first vector is a problem vector, the first vector comprises one of the following items: at least one second problem vector meeting a similarity condition with the first problem vector in the vector database, at least one third p |
Author | LIN YAN ZHENG ZHENYU HE QUANSHENG XIE XIANGMEI LIU YAN DENG MINYI HU CHUNYING ZHENG BO LIN HUI HUANG XUEWEI |
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Snippet | The embodiment of the invention provides a large model retrieval enhancement generation method and device, and the method comprises the steps: obtaining a... |
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Title | Large model retrieval enhancement generation method and device |
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