12 Dec. 2024
Text classification in the age of LLMs
As natural language processing (NLP) advances, text classification remains a foundational task with applications in spam detection, sentiment analysis, topic categorization, and more. Traditionally, this task depended on rule-based systems and classical machine learning algorithms. However, the emergence of deep learning, transformer architectures, and Large Language Models (LLMs) has transformed text classification, allowing for…
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