What we’re about
The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines.
We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers.
Join us every week for a live virtual meetup, Wednesdays at 5 PM UK, 9 AM PT, where top experts share what they’ve learned running pipelines for organizations big and small. We’re also firing up “coffee sessions” where we dive deep into the emerging stack of ML tools and platforms.
You can also check out our Slack and podcast that’s filled with tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Find the solutions you need. Share, learn and grow with us, as we work to bring standardization to the chaotic world of MLOps.
Upcoming events (1)
See all- Data and AI - MLOps Community555 California St, San Francisco, CA
~!!! IMPORTANT: PLEASE REGISTER ON LUMA !!!!
Register Here: https://lu.ma/d38vtmud
How can you use AI Agents to access, check, and transform your data? For our June meetup, the MLOps Community will be hosting a series of talks on Data and AI Agents and their storage, access, and infrastructure challenges.
NOTE: REGISTRATION CLOSES Tuesday June 16th, FOR BUILDING SECURITY.
First, we'll have Dori from Recce talk about Validating Data Before It Feeds Your Models. Code changes in analytics pipelines can silently degrade data quality in ways that traditional testing doesn't detect, causing downstream models to fail. This talk explores how implementing systematic "data reviews," similar to code reviews, can catch these problems before they impact your production models.
Next, Sri will talk about RAG on the edge. While Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent applications, it’s been largely confined to the cloud. In this talk, I will explore how to bring RAG on-device, enabling private, low-latency AI experiences that work offline. (NOTE: This talk is about his side project, unaffiliated with any company).
Vikram Chennai will do a talk on agents in data engineering. Coding agents, unlike others do not have the luxury of being wrong. "Mostly right" code does not run. Therefore there is a much higher burden on accuracy. The talk will be about how we navigate that trade off, work with large scale data systems and drive accuracy in systems like that and the importance of data engineering to organizations relying on data in any way
We'll also learn from Akshay, Anagha and Rohit from Microsoft about how to enable Agentic AI Apps with a Unified Data Estate in Microsoft Fabric and SQL.. Data is the fuel that powers AI. Join us to learn more about how to build Agentic AI apps with Microsoft Fabric and SQL
