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An in-depth analysis of the evolution of Naïve RAG to Modular and Advanced RAG models, and the introduction of new innovations, such as self-reflection, dense vector recovery, and the use of different models.
There are concerns over cloud computing infrastructure as whether it could be sustainable for exponential growth of AI workloads. In this era, the present research examines the trends on energy consumption on cloud data centers and proposes that the use of energy efficient modules can help reduce the operational energy...
A conceptual AI-driven cloud-native microservices framework for secure healthcare prescription automation, software reliability, and scalable deployment optimization that integrates modular prescription services, AI-assisted clinical and operational intelligence, policy-driven security controls, observability-centered...
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