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KitOps

Bridge the gap between ML and Application teams

Kit is an open source MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools while collaborating effortlessly.

KitOps: Bringing DevOps Discipline to Machine Learning Artifacts

KitOps: Bringing DevOps Discipline to Machine Learning Artifacts

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3 min read
Jozu Hub–Your private, on-prem Hugging Face registry

Jozu Hub–Your private, on-prem Hugging Face registry

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5 min read
Securing MCP: Applying Lessons Learned from the Language Server Protocol

Securing MCP: Applying Lessons Learned from the Language Server Protocol

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3 min read
Advanced LLM Security Best Practices You Must Know

Advanced LLM Security Best Practices You Must Know

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6 min read
The KitOps Methodology

The KitOps Methodology

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3 min read
Automating ML Pipeline with ModelKits + GitHub Actions

Automating ML Pipeline with ModelKits + GitHub Actions

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8 min read
10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows

10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows

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6 min read
Deploying ML projects with Argo CD

Deploying ML projects with Argo CD

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9 min read
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