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 | Weekly | Episodes | 35 | Founded | 2 years ago |
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Number of Listeners | Category | Technology |
Find the episode on our YouTube channelResources:The Long Tail: Why the Future of Business is Selling Less of More by Chris AndersonWhat Customers Want: Using Outcome-Driven Innovation to Create Breakthrough Products and Services by Anthony UlwickThe... more
Find the episode on our YouTube channelResources: more
On this special, end-of-the-year episode of the ML Platform Podcast, Piotr Niedzwiedzi and Aurimas Griciūnas discuss the state of MLOps and LLMOps, the impact of LLMs on layoffs and ML team composition, unsolved LLM challenges, use cases that don’t a... more
Find the episode on our YouTube channelResources: more
Find the episode on our Youtube channelResources:The Full Stack Deep Learning courseFollow us & stay updated:► Follow us on Linkedin► Check our Github► Join our Slack MLOps Community (#neptune-ai)Connect with Piotr on LinkedinConnect with Aurimas on ... more
Find the episode on our Youtube channelResources:Hamilton DagWorks Follow us & stay updated: ► Follow us on Linkedin ► Check our Github ► Join our Slack MLOps Community (#neptune-ai)Connect with Piotr on Linkedin Connect with Aurimas on Linkedin Conn... more
In this episode of MLOps Live, Stephen and Sabine speak with Leanne Fitzpatrick, Director of Data Science at Financial TImes. Leanne leads a team of data scientists and engineers who are responsible for building data-driven products and solutions to ... more
In this episode of MLOps Live, Stephen and Sabine speak with Marcin Tuszyński, Data Scientist at ReSpo.Vision, a consulting firm that uses artificial intelligence to revolutionize football analysis. They discuss how AI and MLOps have revolutionized t... more
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ML Platform Podcast launched 2 years ago and published 35 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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