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The Jozu Blog

How to Tune and Deploy Your First Small Language Model (SLM)
ai - 7 min read

How to Tune and Deploy Your First Small Language Model (SLM)

Learn how to fine-tune and deploy your first Small Language Model (sLLM) using KitOps Dev Mode.

Announcing the Preview Release for Jozu Hub
2 min read

Announcing the Preview Release for Jozu Hub

We're excited to announce that the Jozu Hub is now available as an early preview.

Tools to ease collaboration between data scientists and application developers
devops - 12 min read

Tools to ease collaboration between data scientists and application developers

What makes a great workflow between data scientists and ML application developers? This post discusses the disparities, required tools, and, eventually, a solution to poor collaboration.

25 Open Source AI Tools to Cut Your Development Time in Half
ai - 14 min read

25 Open Source AI Tools to Cut Your Development Time in Half

Discover 25 open-source tools to streamline your AI projects from development to production.

How to turn a Jupyter Notebook into a deployable artifact
ai - 9 min read

How to turn a Jupyter Notebook into a deployable artifact

From Jupyter Notebook to production-ready artifact: explore our guide to using KitOps and ModelKit for seamless deployment.

Accelerating into AI: Lessons from AWS
ai - 11 min read

Accelerating into AI: Lessons from AWS

AWS bet early on cloud computing and maintained focus, leading to their success. Today, enterprises face similar challenges with AI, divided between cautious approaches and building in-house AI teams. This article outlines a path to tool selection, project prioritization, and organizational structure that will lead to an enduring competitive edge.

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