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ML Platform Podcast

neptune.ai
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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.
39 episodes  •  0 archived  •  
S2 E39
Navigating Vector Databases: Indexing Strategies, GPU, and More
S2 E39·
Jun 21, 2024
Jun 21, 2024
1h 11m
S2 E38
Learnings From Building the ML Platform at DoorDash With Hien Luu
S2 E38·
Jun 7, 2024
Jun 7, 2024
1h 6m
S2 E37
Breaking Down Workflow Orchestration and Pipeline Authoring in MLOps
S2 E37·
May 24, 2024
May 24, 2024
52 mins
S2 E36
Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment
S2 E36·
May 10, 2024
May 10, 2024
42 mins
S2 E35
Building Internal ML Platform at Scout24: How to Ship Features that People Actually Need
S2 E35·
Apr 26, 2024
Apr 26, 2024
49 mins
S2 E34
Building ML Platform at Uber, Feature Stores, Vector Databases, and Real-time Feature Management
S2 E34·
Apr 12, 2024
Apr 12, 2024
1h 16m
S2 E33
Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024
S2 E33·
Dec 22, 2023
Dec 22, 2023
1 hr
S2 E32
Building MLOps Capabilities at GitLab As a One-Person ML Platform Team With Eduardo Bonet
S2 E32·
Sep 6, 2023
Sep 6, 2023
1h 3m
S2 E31
Learnings From Building the ML Platform at Mailchimp With Mikiko Bazeley
S2 E31·
Aug 9, 2023
Aug 9, 2023
1h 49m
S2 E30
Learnings From Building the ML Platform at Stitch Fix With Stefan Krawczyk
S2 E30·
Jul 12, 2023
Jul 12, 2023
1h 18m