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How to fine-tune AI models in your environment using Google Cloud and Kaggle
There are many ways to build AI-enabled applications without the usual training and development process. Learn how to focus on fine-tuning and deploying
open Gemma models using Google Kubernetes Engine (GKE) and Cloud GPUs. We will also demonstrate how to access open models and datasets on Kaggle,
so your team can experiment and build new AI solutions.
How to build and deploy your first AI/ML model on Ubuntu
Learn how to get started with AI/ML on Ubuntu with this webinar that will walk you through running a Kaggle experiment on Kubeflow on Microk8s on Ubuntu.
These highly reproducible instructions can be used for any machine learning exercise, in addition to any Kaggle competitions. You’ll be able to run your
experiments locally or in the cloud. In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for a demo with instructions for everything…