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6min chapter
Shifting Minds: Exploring OpenShift's AI Landscape
Kubernetes Bytes
Exploring MLOps and DevOps in AI Landscape
This chapter discusses MLOps as the application of DevOps principles to data science, highlighting the iterative model training process and the necessity of creating a pipeline for data preparation, model training, testing, validation, and lifecycle management. It also touches on developers using GPUs for experimentation and deploying models into local Kubernetes environments.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode