📮 Artificial Intelligence and Optimization Techniques by Aleem Ali(.PDF)

The text comprehensively focusses on the use of Artificial Intelligence (AI) and optimization techniques for creating smart information systems. In the quickly changing field of Artificial Intelligence (AI) and Machine Learning (ML), deploying models that are not only powerful but also interpretable and transparent has become critical. Explainable AI (XAI) meets this demand by providing insights into how models make decisions, promoting confidence and accountability in AI systems. This paper presents an architectural approach for building XAI as a Service (XAIaaS) that is specifically designed for container-orchestrated environments, such as those controlled by Kubernetes. Using Kubernetes’ scalability and flexibility, this design attempts to streamline the deployment, management, and explainability of ML models in a smooth and efficient manner.

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