MLOps in Go

Mat gathers the entire cast (sans Natalie, sadly) alongside our producer, Jerod Santo, for one last Go Time. That's right, this is Go Time's finale episode. After eight years and 340 episodes, we are going out on top. Join us one last time, you won't regret it! We share our feeli ...  Show more

With so many great programming languages having emerged in the last decade, many of them purpose-built, when and where does Go still make sense and how do you make the case for it at work? 

We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including ...  Show more

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for inte ...  Show more

Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on mod ...  Show more

Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What's Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on mod ...  Show more