The rapid advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years. Transformer-based models such as GPT-3 and BERT have demonstrated remarkable capabilities in modeling and generating human-like text. These models have not only redefined the potential of AI systems but also revolutionized applications across a broad spectrum, including machine translation, sentiment analysis, question answering, and beyond. While the era of LLMs has significantly expanded the horizons of AI, it has also presented critical challenges in effectively and responsibly harnessing their capabilities.
Introduction to the Special Issue on Natural Language for Artificial Intelligence in the Era of LLMs
Polignano, Marco
Conceptualization
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2024-01-01
Abstract
The rapid advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years. Transformer-based models such as GPT-3 and BERT have demonstrated remarkable capabilities in modeling and generating human-like text. These models have not only redefined the potential of AI systems but also revolutionized applications across a broad spectrum, including machine translation, sentiment analysis, question answering, and beyond. While the era of LLMs has significantly expanded the horizons of AI, it has also presented critical challenges in effectively and responsibly harnessing their capabilities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
