FloraCast is a production-ready template that shows how to build a forecasting platform—config-driven experiments, model versioning/staging, batch inference, and scheduled retrains—with ZenML and Darts.
ZenML's latest release 0.66.0 adds support for Python 3.12, removes some dependencies for a slimmer Client package and adds the ability to view all your pipeline runs in the dashboard.
The ZenML team has addressed a security finding in ZenML Pro's role management system, reported by JFrog Security Research team. This update provides important information for users regarding role-based access controls and recommended actions
ZenML's latest release 0.65.0 enhances MLOps workflows with single-step pipeline execution, AzureML SDK v2 integration, and dynamic model versioning. The update also introduces a new quickstart experience, improved logging, and better artifact handling. These features aim to streamline ML development, improve cloud integration, and boost efficiency for data science teams across local and cloud environments.
Master cloud-based LLM finetuning: Set up infrastructure, run pipelines, and manage experiments with ZenML's Model Control Plane for Microsoft's latest Phi model.
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