Kubeflow, Google’s solution for deploying machine learning stacks on Kubernetes, is now available as an official 1.0 release. Kubeflow was built to address two major issues with machine learning ...
The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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