COMPARATIVE ANALYSIS OF GENERATIVE AI MODELS: TRENDS, APPLICATIONS, AND FUTURE PROSPECTS

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Nilesh Jain, Bal Krishna Sharma

Abstract

Generative AI has emerged as a cornerstone technology in artificial intelligence, demonstrating transformative capabilities across various industries. This paper provides a comparative analysis of leading Generative AI models, including GPT-4 (OpenAI), Claude 2 (Anthropic), Bard (Google), Llama 2 (Meta), Jasper, Mistral, Cohere, and Gemini (DeepMind). Key features, strengths, limitations, and use cases are evaluated alongside their integration with cloud computing infrastructure. The study emphasizes the synergy between Generative AI and cloud technologies, addressing scalability, accessibility, and security concerns. Insights into the popularity and adoption trends of these models are presented, providing a comprehensive understanding of their potential and challenges. The paper concludes by highlighting the diverse opportunities and future directions for Generative AI.

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