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@@ -751,6 +751,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
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* [Flyte: Cloud Native Machine Learning and Data Processing Platform at Lyft](https://eng.lyft.com/introducing-flyte-cloud-native-machine-learning-and-data-processing-platform-fb2bb3046a59)
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* [LyftLearn: ML Model Training Infrastructure built on Kubernetes at Lyft](https://eng.lyft.com/lyftlearn-ml-model-training-infrastructure-built-on-kubernetes-aef8218842bb)
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* [Horovod: Open Source Distributed Deep Learning Framework for TensorFlow at Uber](https://eng.uber.com/horovod/)
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* [Genie: Gen AI On-Call Copilot at Uber](https://www.uber.com/blog/genie-ubers-gen-ai-on-call-copilot/)
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* [COTA: Improving Customer Care with NLP & Machine Learning at Uber](https://eng.uber.com/cota/)
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* [Manifold: Model-Agnostic Visual Debugging Tool for Machine Learning at Uber](https://eng.uber.com/manifold/)
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* [Repo-Topix: Topic Extraction Framework at Github](https://githubengineering.com/topics/)
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