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Large Language Models (LLMs) have demonstrated remarkable capabilities in generating human-like text, answering questions, and assisting in various domains. However, despite their power, they have notable limitations that led to the development of Retrieval-Augmented Generation (RAG). This hybrid approach enhances LLMs by integrating retrieval mechanisms, making them more accurate, relevant, and domain-specific. 
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In cloud networking, the hub-and-spoke topology is a prevalent architecture where a central hub virtual network (VNet) connects to multiple spoke VNets. This design facilitates efficient management, centralized security, and streamlined connectivity.  |
Author
Mohammad Al Rousan is a Microsoft Most Valuable Professional (MVP) in Azure, a cloud architect, and a recognized leader in enterprise AI and data platforms. With over a decade of hands-on experience, he specializes in designing and scaling secure, production-grade solutions across Azure AI, Databricks, and modern cloud-native architectures. 
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