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Academic Intent Detection based on Fine-tunned Bert Model

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Databricks2025-02-28 收录
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https://marketplace.databricks.com/details/9708ff7c-a57a-46b3-84a2-42b7981389df/YDUQS_Academic-Intent-Detection-based-on-Fine-tunned-Bert-Model
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**Overview** This listing describes the the fine-tuned model for intent detection based on the BERT model. The dataset used for fine-tuning was generated with academic content from a set of subjects and the AWS Bedrock Claude 3 Haiku. The results was then evaluated by LLM judges. During fine-tuning, the model achieved an accuracy of 95.5% on the 20-80% dataset. The model is currently registred and served as an agent in Databricks. **Use cases** - Academic Tutor **Product details** Language: Portuguese **Additional Insights** Example of intent detection: - user_message: "Bom dia" -> intent: "saudacao"
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