OpenShift AI
PulseAugur coverage of OpenShift AI — every cluster mentioning OpenShift AI across labs, papers, and developer communities, ranked by signal.
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MLOps pipeline built on OpenShift AI for model drift detection
This article details the construction of a drift detection pipeline using OpenShift AI, a platform designed for MLOps. The process involves leveraging Kubernetes and KServe to deploy a model and then automating the dete…
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MLOps series begins with OpenShift AI model deployment and drift detection
This article introduces a series on MLOps pipelines and drift detection for models deployed on OpenShift AI. It aims to cover the process from initial model deployment through to monitoring for performance degradation o…
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RAG tools automate pipeline selection but lag on OCR capabilities
Three open-source tools—AutoRAG, RAGBuilder, and Red Hat AutoRAG—aim to simplify the process of building effective Retrieval-Augmented Generation (RAG) pipelines by automating the testing and selection of optimal config…