In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language processing. Notable models, such as OpenAI’s GPT series, have demonstrated previously unprecedente...

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Bibliographic Details
Main Authors: Azza Mohamed, Mohamed El Rashid, Khaled Shaalan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
in-context learning
large language models (LLMs)
knowledge representation reasoning
advanced AI models
natural language processing (NLP)
Online Access:https://ieeexplore.ieee.org/document/11018434/
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https://ieeexplore.ieee.org/document/11018434/

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