AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Yejin Choi: Teaching Machines Common Sense and Morality
The Gradient: Perspectives on AI
Taking a Pre Trained Language Model and Filtering Out the Bad Information?
We have these really powerful methods where we can combine nearat works with knowledge grasps, but that doesn't scale if knowledge grass has to be human generated. So why don't we take a massive pre trained language model like gpt three and filter out the bad stuff get to the good stuff? I'm wondering if you can expand a little bit on what that method for taking out the bad information looks like.
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