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Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions

arXiv — cs.CL•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The study on large language models (LLMs) marks a significant advancement in natural language understanding and user intent resolution, showcasing a shift from conventional GUI-driven interfaces to more intuitive, language-first interactions. This transition allows users to express their objectives in natural language, enabling LLMs to manage actions across various applications dynamically. However, the reliance on cloud-based proprietary models raises concerns about privacy and autonomy. The study argues that local deployment of open-source LLMs is essential for creating a trusted interface paradigm, as it addresses these limitations. By comparing these models against OpenAI's GPT-4, the research underscores the potential of locally deployable systems to serve as foundational elements for future intent-based operating systems, paving the way for more secure and scalable user interactions.
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