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Add one-liner info about components of KubeFlow to docs #4055
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Signed-off-by: nb923 <[email protected]>
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Hi @nb923. Thanks for your PR. I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. DetailsInstructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here. DetailsNeeds approval from an approver in each of these files:
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Arhell
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/ok-to-test
milinddethe15
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I suggest to specify feature of each components.
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| title = "Model Registry" | ||
| description = "Documentation for Kubeflow Model Registry" | ||
| description = "Central Index for Indexing and Managing ML Models" |
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| description = "Central Index for Indexing and Managing ML Models" | |
| description = "Repository for storing and versioning ML models and metadata" |
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sorry but model registry is NOT a repository, it's a metadata-only-store.
| +++ | ||
| title = "Kubeflow Notebooks" | ||
| description = "Documentation for Kubeflow Notebooks" | ||
| description = "Running Development Environments Inside Kubernetes Clusters" |
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| description = "Running Development Environments Inside Kubernetes Clusters" | |
| description = "Interactive environments for data exploration and model development" |
| +++ | ||
| title = "Kubeflow Pipelines" | ||
| description = "Documentation for Kubeflow Pipelines." | ||
| description = "Building and Deploying Scalable ML Workflows in Docker Containers" |
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| description = "Building and Deploying Scalable ML Workflows in Docker Containers" | |
| description = "Platform for building and deploying ML workflows using containers" |
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We should not call Kubeflow Pipeline a platform, since "Kubeflow is a collection of tools", and KFP is just one tool from Kubeflow Foundation.
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We also use OCI instead of docker.
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| title = "Kubeflow Trainer" | ||
| description = "Documentation for Kubeflow Trainer" | ||
| description = "Kubernetes-Native LLM Fine-Tuning and Distributed ML Trainings" |
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| description = "Kubernetes-Native LLM Fine-Tuning and Distributed ML Trainings" | |
| description = "Distributed training toolkit for machine learning models" |
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I like that we call it Kubernetes-native tool for fine-tuning LLMs and model distributed training.
| +++ | ||
| title = "Katib" | ||
| description = "Documentation for Kubeflow Katib" | ||
| description = "Kubernetes-Native Automated Machine Learning (AutoML)" |
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| description = "Kubernetes-Native Automated Machine Learning (AutoML)" | |
| description = "Hyperparameter tuning and neural architecture search tool" |
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I prefer if we call Katib, tool for AutoML on Kubernetes.
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cc @kubeflow/kubeflow-steering-committee for review |
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@andreyvelich @tarilabs @hbelmiro please review |
tarilabs
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reviewed as requested, with optional suggestion below
/lgtm
Co-authored-by: Matteo Mortari <[email protected]> Signed-off-by: Julius von Kohout <[email protected]>
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New changes are detected. LGTM label has been removed. |
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We need WG to review this one-liner info for each Kubeflow Tool.
cc @kubeflow/wg-training-leads @kubeflow/wg-automl-leads @kubeflow/wg-data-leads @kubeflow/wg-pipeline-leads @kubeflow/wg-notebooks-leads @kubeflow/wg-manifests-leads @kubeflow/kubeflow-steering-committee
| +++ | ||
| title = "Katib" | ||
| description = "Documentation for Kubeflow Katib" | ||
| description = "Kubernetes-Native Automated Machine Learning (AutoML)" |
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I prefer if we call Katib, tool for AutoML on Kubernetes.
| +++ | ||
| title = "Kubeflow Pipelines" | ||
| description = "Documentation for Kubeflow Pipelines." | ||
| description = "Building and Deploying Scalable ML Workflows in Docker Containers" |
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We should not call Kubeflow Pipeline a platform, since "Kubeflow is a collection of tools", and KFP is just one tool from Kubeflow Foundation.
| +++ | ||
| title = "Kubeflow Trainer" | ||
| description = "Documentation for Kubeflow Trainer" | ||
| description = "Kubernetes-Native LLM Fine-Tuning and Distributed ML Trainings" |
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I like that we call it Kubernetes-native tool for fine-tuning LLMs and model distributed training.
thank you @andreyvelich , for MR WG we did it with #4055 (review) |
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This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
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This pull request has been automatically closed because it has not had recent activity.You can reopen the PR if you want. |
Checklist:
Description of your changes:
Added one liner descriptions about components in /docs/components/ as suggested by issue #4043.
Issue #4043
Closes: #4043
Labels
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