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GitOps Best Practices: DVC Studio Model Registry for ML Development 

DVCorg
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Do you have a lot of models that you need to keep track of, monitor their states and share with your team? Jelle Bouwman, gives and in-depth tutorial on how to do just that with the DVC Studio Model Registry. What makes the DVC Studio Model Registry special is its GitOps approach. All model versions and their stages are tracked with commits and Git tags, merging your machine learning process with the best practices in software engineering.
Jelle explains the advantages of the DVC model registry and goes over each step from Adding a model, to registering the model and assigning stages. By the end he shows 4 ways to download a mode including how to get set up with CI/CD by obtaining the Studio Access token and connecting it to your Git repository.
To find out more about the DVC Studio Model Registry check out our docs: dvc.org/doc/st...
You can find the repo for this project here: github.com/ite...
To learn more about Iterative's open-source and SaaS tools please visit:
🧑🏽‍💻 Our free online course: [learn.iterativ...](learn.iterativ...)
✍🏼 *Our docs:*dvc.org/doc (Data Version Control, Pipelines, Experiments)
[studio.iterati...](studio.iterati...) (Team Collaboration, Experiments, Model Registry)
Try out the DVC Extension for VS Code here: marketplace.vi...
Join the Community on our Discord server: / discord
#dvc #machinelearning #datascience #generativeai

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12 сен 2024

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Комментарии : 2   
@trainer9948
@trainer9948 6 месяцев назад
It looks like all the metadata is stored in git? Is it true that the studio app is just reading and writing to the git repo? Very cool
@dvcorg8370
@dvcorg8370 5 месяцев назад
That's correct. It enables you to use your existing Git infrastructure while being able to adequately view and use your ML models and experimentation flows.
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