How AI Learned to Understand Us
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
In this episode of Decode: Science, we explore the 2018 paper that introduced BERT, a model that transformed how machines understand human language.
By learning from both left and right context simultaneously, BERT became the foundation for a new generation of smarter, context-aware AI systems — from Google Search to intelligent assistants. We’ll break down how it works, why it matters, and what made it so effective.
No reviews yet