LLM CLASSIFIER: MESSAGE VALIDATION ON PROFANITY
DOI:
https://doi.org/10.17770/het2024.28.8262Keywords:
Dataset, ChatGPT 3.5, Cohera, LLMAbstract
The aim of the given scientific paper "Message validation on profanity using LLM” to train LLM to detect profanity in user messages. During the research, the authors created a dataset of 30 phrases (15 good, 15 bad), which were then used to train LLM using AI platform Cohera and evaluated the recognition accuracy. The authors achieved accuracy equal to 70%.
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References
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