MLOps is NOT Real

As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth ...  Show more

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, wor ...  Show more

Join Allen and Mark in this episode of Two Voice Devs as they dive into the world of MLOps and explore KitOps, an open-source tool for packaging and versioning machine learning models and related artifacts. Learn how KitOps leverages the Open Container Initiative (OCI) standar ...

Tech lawyer Luis Villa returns to answer our most pressing questions: what's up with all these new content deals? How did Google think it was a good idea to ship AI Summaries in its current state? Is it too late to opt out of AI? We also discuss AI in Hollywood (spoilers!), posit ...  Show more

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. This requires a repeat ...

MLOps is an increasingly popular topic that is no longer just a subset of DevOps. Go is a great choice for infrastructure. What role does Go play in MLOps? Discuss on Changelog News Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today ...  Show more