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Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models

Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML) application development. The emergence of versatile LLMs capable of undertaking a wide array of tasks has reduced the necessity for intensive human involvement in training and maintaining ML models. Despite these advan...

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Principais autores: Fouad Trad, Ali Chehab
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-02-01
coleção:Machine Learning and Knowledge Extraction
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Acesso em linha:https://www.mdpi.com/2504-4990/6/1/18
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