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Quote 1:
“Currently we have a system that resembles half-MLOps but lacks data versioning tied to model versioning and configurations, and makes it difficult to deploy and keep track [of AI projec…
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### Willingness to contribute
Yes. I would be willing to contribute this feature with guidance from the MLflow community.
### Proposal Summary
Currently, In MLFow, the sequential execution for diff…
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* Introduction to a subject
* List of tools
* Links to related repos, videos, podcasts, posts
@Fabes201
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(vitis-ai-tensorflow) Vitis-AI /workspace > python3 -m ck install package:imagenet-2012-val-min
Searching if CK environment for this package already exists using:
* Tags: image-classification,da…
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# Outline
This post will elaborate on how to effectively use Machine Learning infrastructure. Namely, the best practice in building, maintaining and scaling production-ready deep learning systems.
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Currently, [the Katib Client doc](https://github.com/kubeflow/katib/blob/master/sdk/python/v1beta1/docs/KatibClient.md) is outdated as I mentioned in this PR: https://github.com/kubeflow/katib/pull/20…
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# Deprecating model registry stages
Starting in **MLflow 2.9**, we plan to mark model registry stages as deprecated in favor of new tools we’ve introduced for managing and deploying models in the M…
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RecSys Intro from Google Developers
Why recsys needed?
Easier content browsing - helps users find content that they did not thought about asking
Components of recsys
Candidate generation - Sco…
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@deep-diver, @hunkim
Given our experience with using GCP for various end-to-end ML workflows, I think we could cover the following things:
* Local deployments (with FastAPI since it's Hugging F…