CustomerServiceDialogWorkOrderExtraction

所属分类:自然语言处理
开发工具:Python
文件大小:0KB
下载次数:0
上传日期:2023-09-01 05:19:53
上 传 者sh-1993
说明:  在客服对话的场景中,建立合适的模型,实现精确的工单自动填写,能够解决当前客服的痛点,有效提升行内生产效率。,
(In the scene of customer service dialogue, establish an appropriate model to achieve accurate automatic filling of work orders, which can solve the pain points of current customer service and effectively improve the production efficiency in the industry.,)

文件列表:
LICENSE (1063, 2023-09-05)
data/ (0, 2023-09-05)
data/llmresult_processing_state.json (29, 2023-09-05)
data/session_testA_llmresult.json (2797903, 2023-09-05)
data/session_testA_new_data.json (2788340, 2023-09-05)
data/session_testA_sample.json (1923388, 2023-09-05)
data/session_testA_without_answer.json (2788340, 2023-09-05)
data/session_train.json (31356743, 2023-09-05)
llama2/ (0, 2023-09-05)
llama2/llama2datapre.py (2776, 2023-09-05)
llama2/llama2result.py (4111, 2023-09-05)
openai/ (0, 2023-09-05)
openai/datapre.py (3223, 2023-09-05)
openai/finetune.ipynb (21053, 2023-09-05)
openai/finetune.py (1277, 2023-09-05)
openai/llmresult.py (3856, 2023-09-05)
openai/mydata50.jsonl (197997, 2023-09-05)
requirements.txt (88, 2023-09-05)
test.py (2538, 2023-09-05)
test2.py (3000, 2023-09-05)
test3.py (3904, 2023-09-05)

# CustomerServiceDialogWorkOrderExtraction 在客服对话的场景中,建立合适的模型,实现精确的工单自动填写,能够解决当前客服的痛点,有效提升行内生产效率。

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