A Study on Text Classification in the Age of Large Language Models

Large language models (LLMs) have recently made significant advances, excelling in tasks like question answering, summarization, and machine translation. However, their enormous size and hardware requirements make them less accessible to many in the machine learning community. To address this, techn...

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Bibliographic Details
Main Authors: Paul Trust, Rosane Minghim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/6/4/129
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