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Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Released Friday, 10th May 2024
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Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment

Friday, 10th May 2024
Good episode? Give it some love!
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On this episode of the ML Platform Podcast, Chaoyu Yang discusses the MLOps stack's model serving, model registry and feature store components, online model training, large language model deployment, LLM agents, and more.

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ML Platform Podcast

1
Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.Brought to you by neptune.ai.

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