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The Future of Cloud-Native AI: Integrating LLMs and Generative AI into Business Solutions

Author(s) Santosh Pashikanti
Country United States
Abstract Cloud-native artificial intelligence (AI) has rapidly emerged as the cornerstone of innovative, scalable, and cost-effective business solutions. By leveraging distributed computing, container orchestration, and modern infrastructure services, organizations can deploy large language models (LLMs) and generative AI systems with minimal overhead and significant agility. This white paper presents a comprehensive technical exploration of cloud-native AI, focusing on integrating LLMs and generative AI into diverse enterprise environments. This paper includes a detailed architecture and implementation methodology, discuss key challenges and solutions, and provide real-world case studies and use cases. This paper also delves into the role of emerging AI workflows in accelerating productivity and fostering new capabilities that can reshape business processes.
Keywords Cloud-Native AI, Large Language Models (LLMs), Generative AI, Container Orchestration, Microservices, MLOps, Edge Computing, Business Solutions
Field Engineering
Published In Volume 5, Issue 5, May 2024
Published On 2024-05-07
Cite This The Future of Cloud-Native AI: Integrating LLMs and Generative AI into Business Solutions - Santosh Pashikanti - IJLRP Volume 5, Issue 5, May 2024. DOI 10.5281/zenodo.14646344
DOI https://doi.org/10.5281/zenodo.14646344
Short DOI https://doi.org/g8zrv5
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