

ML Platform Podcast
neptune.ai
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.
Episodes
Mentioned books

Jun 21, 2024 • 1h 11min
Navigating Vector Databases: Indexing Strategies, GPU, and More
Find the episode on our Youtube channelResources:ImageBind: Holistic AI learning across six modalitiesFrank’s Liu websiteMilvusOSS ChatFollow us & stay updated:► Visit our website► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Frank on LinkedinConnect with Frank on Twitter/XThe episode was recorded on 7 September 2023, and some information may not be up-to-date.Brought to you by neptune.ai

Jun 7, 2024 • 1h 6min
Learnings From Building the ML Platform at DoorDash With Hien Luu
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 Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Hien on LinkedinBrought to you by neptune.ai

May 24, 2024 • 52min
Breaking Down Workflow Orchestration and Pipeline Authoring in MLOps
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 ItFollow us & stay updated:► Visit our website► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Adam on LinkedinConnect with Hamza on LinkedinBrought to you by neptune.ai

May 10, 2024 • 42min
Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment
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 blogResources:BentoMLBentoCloudLearnings From Building the ML Platform at Uber (Michelangelo) Building a Machine Learning Platform [Definitive Guide] Follow us & stay updated:► Visit our website► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Chaoyu on LinkedinBrought to you by neptune.ai

Apr 26, 2024 • 49min
Building Internal ML Platform at Scout24: How to Ship Features that People Actually Need
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 Platform [Definitive Guide]Follow us & stay updated:► Visit our website ► Follow us on Linkedin► Check our Github► Follow us on TwitterConnect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Olalekan on LinkedinBrought to you by neptune.ai

Apr 12, 2024 • 1h 16min
Building ML Platform at Uber, Feature Stores, Vector Databases, and Real-time Feature Management
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► Check our Github► Join our Slack MLOps Community (#neptune-ai)Connect with Piotr on LinkedinConnect with Aurimas on LinkedinConnect with Mike on LinkedinBrought to you by neptune.ai

Dec 22, 2023 • 1h
Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024
Topics discussed in this podcast include 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 2024, and more.

Sep 6, 2023 • 1h 3min
Building MLOps Capabilities at GitLab As a One-Person ML Platform Team With Eduardo Bonet
Find the episode on our YouTube channel or read the podcast transcriptResources:MLOps Is an Extension of DevOps. Not a ForkThe GitLab HandbookFollow 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 Eduardo on LinkedinBrought to you by neptune.ai

Aug 9, 2023 • 1h 49min
Learnings From Building the ML Platform at Mailchimp With Mikiko Bazeley
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 LinkedinBrought to you by neptune.ai

Jul 12, 2023 • 1h 18min
Learnings From Building the ML Platform at Stitch Fix With Stefan Krawczyk
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 LinkedinBrought to you by neptune.ai


