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Merge pull request #43 from project-codeflare/readme-update
Update README.md
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@@ -34,8 +34,8 @@ Status](https://travis-ci.com/project-codeflare/codeflare.svg?branch=main)](http
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[![Documentation Status](https://readthedocs.org/projects/codeflare/badge/?version=latest)](https://codeflare.readthedocs.io/en/latest/?badge=latest)
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[![GitHub](https://img.shields.io/badge/issue_tracking-github-blue.svg)](https://github.com/project-codeflare/codeflare/issues)
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# IMPORTANT UPDATE
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As of January 2022, this project is now built on [Ray Workflows](https://docs.ray.io/en/releases-1.9.0/workflows/concepts.html) with parts of it in [Ray core](https://github.com/ray-project/ray/releases/tag/ray-1.7.0) and the rest in a [DAG contribution repository](https://github.com/ray-project/contrib-workflow-dag). Please follow these links to contribute to CodeFlare pipelines. We appreciate your interest and look forward to working with you.
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> ** UPDATE**
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> CodeFlare is evolving! Check our [updates](https://github.com/project-codeflare/codeflare#pipeline-execution-and-scaling) for CodeFlare Pipelines and related contributions to Ray Workflows under Ray project.
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# Scale complex AI/ML pipelines anywhere
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<img src="./images/pipelines.svg" width="296" height="180">
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</p>
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> **⚠ UPDATE**
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> As of January 2022, this feature is now built on [Ray Workflows](https://docs.ray.io/en/releases-1.9.0/workflows/concepts.html) with parts of it in [Ray core](https://github.com/ray-project/ray/releases/tag/ray-1.7.0) and the rest in a [DAG contribution repository](https://github.com/ray-project/contrib-workflow-dag). Please follow these links to contribute to CodeFlare Pipelines.
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**CodeFlare Pipelines** reimagined pipelines to provide a more intuitive API for the data scientist to create AI/ML pipelines, data workflows, pre-processing, post-processing tasks, and many more which can scale from a laptop to a cluster seamlessly.
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