Fine-tuning Large Language Models for Financial Markets through Ontological Reasoning

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Title: "Fine-tuning of Large Language Models for financial markets through ontological reasoning""

Summary:

The document discusses the limitations of pre-trained Large Language Models (LLMs) in financial domains due to their lack of domain-specific knowledge. It highlights the need for fine-tuning techniques to adapt LLMs to specific domains. The authors propose an approach that combines the strengths of both LLMs and Knowledge Representation and Reasoning (KRR) systems. Specifically