Getting a job in MLOps
Hey, I am Nilansh and I wanted to share my story about how I got my latest job. Hopefully, this will inspire others. It’s a bit of my journey so bear with me! Background I graduated with my bachelor’s in... View article
Blog
MLOps New Tool Tuesday Roundup
This is a collection of Newsletter blurbs about some of the new MLOps tools I see in the community. Launchable.AI Simplify the deployment of Fast.ai models Korey MacDougall built out FastServe, a service to convert your pre-trained fast.ai models into... View article
What I learned after an hour with Jeremy Howard
It isn’t often you get to chat with a living legend. But that’s exactly what happened this past July when fast.ai’s Jeremy Howard joined us for an hour-long interview. He’s been one of the most requested guests on the podcast,... View article
PoCs and the law of diminishing returns
How do you get out of ML PoC Hell? There’s no escaping them. Proof of Concepts are like machine learning’s training wheels. Pilots, prototypes, and MVPs give ML pros a way to quickly validate the business value of an ML... View article
The MLOps Community in 2020
The year 2020 was… eh… you know it wasn’t good. However, there were some silver linings. For those of us practicing machine learning (ML), the MLOps Community was a much needed forum. Even before the pandemic, this community would have been a... View article
MLOps vs DevOps. What’s the difference?
When I first got involved in MLOps, there was a steep learning curve. One of the things that helped me climb it was to look at the parallels with DevOps. If you’re coming from a software development background, it’s one... View article
Top 9 MLOps Community Podcasts (Thus Far)
Each interview we have done with guests has been unique and insightful. that being said since we are putting out so much content and there are so many new people joining the community every day I wanted to put together... View article
MLOps New Tool Tuesday
This is a round-up of all the New Tool Tuesdays that have gone into the MLOps community newsletter thus far. Feel free to subscribe to the newsletter and stay up to date here. Cash Money! No need to waste all your... View article
Model Performance Management Done Right: Build Responsibly Using Explainable AI
Should I build Responsible AI? The emergence of artificial intelligence (AI) and machine learning (ML) has brought great benefits across different industries, from automating simple robotic tasks to more complex autonomous driving. Some use cases we’ve seen are credit card... View article
When PyTorch meets MLFlow
Written by Artem, Dimi, Laszlo and Paulo. Premises This article is part of Engineering Labs series which is a collection of reviews about the corresponding initiative provided by each team. In this case, it is about the YELP Review Classification solution of the TEAM 3.If... View article