
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.
| Publishes | Twice monthly | Episodes | 39 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

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Resources:
ImageBind: Holistic AI learning across six modalities
Frank’s Liu website
Milvus
OSS Chat
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Resources:
Building a Machine Learning Platform [Definitive Guide]
DoorDash’s ML Platform – The Beginning
3 Principles for Building an ML Platform That Will Sustain Hypergrowth
Hien's LinkedIn Survey
Follow ... more
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Resources:
ZenML's big announcement
ZenML on Github
ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It
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► Check o... more
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The episode was recorded on 20 July 2023, and some information may not be up-to-date. Stay tuned for an updated version on our blog
Resources:
BentoML
BentoCloud
Learnings From Building the ML Platform at Ub... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #144 |
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These podcasts share a similar audience with ML Platform Podcast:
1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. No Priors: Artificial Intelligence | Technology | Startups
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