
technologyAug 12, 202250:47pending
Moving NLP Forward With Transformer Models and Attention
About this episode
What's the big breakthrough for Natural Language Processing (NLP) that has dramatically advanced machine learning into deep learning? What makes these transformer models unique, and what defines "attention?" This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, continues our talk about how machine learning (ML) models understand and generate text.
Get every episode summarized
Each time The Real Python Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Real Python Podcast

Django Developers Survey Results & Reproducible Python Builds
The Real Python Podcast
Sep 11, 202646:50completed

Performance Engineering: Profiling and Making Apps Fast by Default
The Real Python Podcast
Sep 4, 20261:16:40completed

Exploring Complex Systems & Maintainable Data Science Pipelines
The Real Python Podcast
Aug 28, 202641:04pending

Navigating Silent Failures in AI: Strategies for Effective Oversight
The Real Python Podcast
Aug 21, 20261:09:39pending