LLM CLASSIFIER: MESSAGE VALIDATION ON PROFANITY

Authors

  • Aleksandrs Daniels Lebeds Rezekne Academy of Technologies, Rezekne (LV)
  • Egīls Kivlis Rezekne Academy of Technologies, Rezekne (LV)
  • Dr.sc.ing. Sergejs Kodors Rezekne Academy of Technologies, Rezekne (LV)

DOI:

https://doi.org/10.17770/het2024.28.8262

Keywords:

Dataset, ChatGPT 3.5, Cohera, LLM

Abstract

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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Published

2024-09-10

How to Cite

[1]
A. D. Lebeds, E. Kivlis, and S. Kodors, “LLM CLASSIFIER: MESSAGE VALIDATION ON PROFANITY”, HET, no. 28, pp. 71–75, Sep. 2024, doi: 10.17770/het2024.28.8262.