Legal consultation reply method and legal field generative large model training method
The invention discloses a legal consultation reply method and a legal field generative large model training method, and belongs to the technical field of natural language processing. The method comprises the following steps: pre-training a preset generative large model based on unstructured legal te...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
29.09.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a legal consultation reply method and a legal field generative large model training method, and belongs to the technical field of natural language processing. The method comprises the following steps: pre-training a preset generative large model based on unstructured legal text data and general Chinese data to obtain a first fine-tuning large model; performing low-rank matrix increment weight training on the first fine tuning and enlarging model based on an instruction data set pre-constructed for each legal subdivision field to obtain a second fine tuning and enlarging model corresponding to the legal subdivision field; constructing a reward model according to a pre-constructed score sorting data set and a second fine-tuning enlarging model; and performing reinforcement learning training on the second fine-tuning large model by taking the second fine-tuning large model as an intelligent agent and the reward model as an environment to obtain a legal field generative large model. When t |
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Bibliography: | Application Number: CN202311107545 |