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#transformers#nlp#attentionmechanism
Stanford CS25: V4 I Overview of Transformers
Stanford Online
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Beginner. No background in the topic needed.
76K views2 years ago
AI and machine learningTransformers and LLMsNeural networks and deep learning
Stanford instructors provide an introductory overview of NLP history, how Transformers work, and recent trends in AI agents.
April 4, 2024 Steven Feng, Stanford University [styfeng.github.io/] Div Garg, Stanford University [divyanshgarg.com/] Emily Bunnapradist, Stanford University [linkedin.com/in/ebunnapradist/] Seonghee Lee, Stanford University [shljessie.github.io/] Brief intro and overview of the history of NLP, Transformers and how they work, and their impact. Discussion about recent trends, breakthroughs, applications, and remaining challenges/weaknesses. Also discussion about AI agents. Slides here: docs.google.com/presentation/d/1oXPs3LXtIVIsVbwTyGjAWj_aWvak… More about the course can be found here: web.stanford.edu/class/cs25/ View the entire CS25 Transformers United playlist: youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CMWhy it's here
A top upload from a listed channelStanford Online is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.