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Strategies for Tagging ModelKits
ai - 4 min read

Strategies for Tagging ModelKits

ModelKits, much like other OCI artifacts, can be identified using tags that are comprehensible to humans. This blog explores various strategies for effectively tagging your ModelKits.

Introducing the New GitHub Action for using Kit CLI on MLOps pipelines
KitOps - 2 min read

Introducing the New GitHub Action for using Kit CLI on MLOps pipelines

One of the goals of KitOps is streamlining AI integration with your existing DevOps practices. Our latest contribution on this evolving landscape is a GitHub Action that simplifies integrating Kit CLI into your existing CI/CD toolset. This development is particularly exciting for those looking to leverage ModelKits, our OCI-compliant AI project packaging, directly within their CI/CD pipelines.

The transitory nature of MLOps: Advocating for DevOps/MLOps coalescence
ai - 5 min read

The transitory nature of MLOps: Advocating for DevOps/MLOps coalescence

AI/ML is a wildfire of a trend. It’s being integrated into just about every application you can think of. When compared to other technical innovations over the past years, like the blockchain, the infrastructure and tooling was being built (and still is) in parallel to discovering a meaningful application.

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