ABOUT THIS PODCAST 🔗
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.
Brought to you by neptune.ai.
Update frequency:
monthly
Average audio length:
56 minutes
Guest interviews
Has sponsors
English
United States
40 episodes
since May 6, 2022
episodic
LATEST EPISODE 🔗
Find the episode on our Youtube channelResources:ImageBind: Holistic AI learning across six modalitiesFrank’s Liu websiteMilvusOSS Chat
Follow us & stay updated:► Visit our website► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas o…
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PREVIOUS EPISODES 🔗
Find the episode on our Youtube channelResources:Building a Machine Learning Platform [Definitive Guide]DoorDash’s ML Platform – The Beginning3 Principles for Building an ML Platform That Will Sustain HypergrowthHien's LinkedIn SurveyFollow us & stay updated:► Visit our website► Follow us on Li…
Find the episode on our YouTube channelResources:ZenML's big announcementZenML on GithubML Experiment Tracking: What It Is, Why It Matters, and How to Implement It
Follow us & stay updated:► Visit our website► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on L…
Find the episode on our YouTube channelThe 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:BentoMLBentoCloudLearnings From Building the ML Platform at Uber (Michelangelo) Building a Machine Learning Platform […
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 GitLab HandbookBuilding a Machine Learning Platf…
Find the episode on our YouTube channelResources:
Machine Learning: The High Interest Credit Card of Technical DebtMeet Michelangelo: Uber’s Machine Learning PlatformFeature Stores and LLMsBuilding a Machine Learning Platform [Definitive Guide]
Follow us & stay updated:► Follow us on Linkedin► …
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 align with LLMs, MLOps and LLMOps predictions for …
Find the episode on our YouTube channelResources:
MLOps Is an Extension of DevOps. Not a ForkThe GitLab Handbook
Follow 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 LinkedinConnect …
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 LinkedinConnect with Mikiko on Linkedin
Broug…
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 Connect with Stefan on Linkedin
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