What’s Next for Fast.ai? w/ Jeremy Howard

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this special #TWIMLfest episode of the podcast, we’re joined by Jeremy Howard, Founder of Fast.ai.

In our conversation with Jeremy, we discuss his career path, including his journey through the consulting world and how those experiences led him down the path to ML education, his thoughts on the current state of the machine learning adoption cycle, and if we’re at maximum capacity for deep learning use and capability. Of course, we dig into the newest version of the fast.ai framework and course, the reception of Jeremy’s book ‘Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD,’ and what’s missing from the machine learning education landscape. If you’ve missed our previous conversations with Jeremy, I encourage you to check them out here and here.

Thanks to our Sponsor!

I’d like to send a shout-out to our friends at Tecton for their sponsorship of this episode of the podcast. Tecton provides an enterprise feature store that enables ML teams to build great features and get them to production quickly and reliably. Founded by the creators of the Uber Michelangelo platform, they’re applying their expertise to solving the data challenges of ML for every organization. The Tecton product integrates with your existing MLOps infrastructure to bring DevOps-like capabilities to the feature lifecycle. Tecton is delivered as a fully managed service in the cloud that lets you start building features quickly and easily.

We’ll also be hosting a webinar with Tecton on November 17th, focused on MLOps, feature stores, and open source. Visit twimlai.com/tecton to sign up.

Go to tecton.ai to sign up for their free trial or request a demo.

Connect with Jeremy!


Join Forces!

“More On That Later” by Lee Rosevere licensed under CC By 4.0


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