AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Shreya Shankar — Operationalizing Machine Learning
Gradient Dissent: Conversations on AI
Is Distribution Shift a Problem?
I used to believe that this baby is a problem depending on how you define it. But the idea that if you have this static model in production, like a static set of parameters or a function that's being called on some features and these features are changing. At some point, right, you're that this is like the classic view staleness problem in database,. You need to refresh your views to keep up with the underlying data. And one concrete example of this is distribution shift.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode