Research and Analysis on Text Interaction Methods Based on Large Language Models

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Large language models enhance human-computer interaction with multi-turn dialogue and personalized learning, impacting multiple fields.
Research shows LLMs face challenges like ethical risks and high computational costs, which hinder their scalability.
Analysis of LLMs involved a systematic review of their technical frameworks and challenges in real-world applications.
Future developments should prioritize model interpretability and exploring green computing, promoting responsible AI use.

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Systematic review highlights ethical risks and application values of LLMs in various fields, suggesting governance solutions.

Shyr-Shen Yu (2025) studied this question.

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