ChatGPT Vs. DeepSeek: A Comparative Analysis of AI Models for Enhancing Virtual Reality Experiences

Abstract

With rapid advancements in artificial intelligence (AI) and virtual reality (VR), integrating AI-driven models into VR environments has gained significant attention. This paper presents a comparative analysis of two state-of-the-art AI models, ChatGPT and DeepSeek, to enhance VR experiences. The study examines their architectures, learning efficiency, expressive power, and interaction capabilities, focusing on their ability to generate immersive, intelligent, and adaptive VR environments. Through a comprehensive evaluation, key similarities and differences between the models are highlighted, particularly in natural language processing, virtual asset generation, and real-time user interaction. Experimental findings suggest that while ChatGPT excels in conversational AI and contextual text generation, DeepSeek performs better in visual rendering, object manipulation, and dynamic content adaptation. The research concludes with insights into the future of AI in VR applications, discussing ethical considerations, algorithmic bias, and potential improvements for next-generation AI-driven virtual experiences.

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