Dale’s Blog → https://goo.gle/3xOeWoK Classify text with BERT → https://goo.gle/3AUB431 Over the past five years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural language processing. Want to translate text with machine learning? Curious how an ML model could write a poem or an op ed? Transformers can do it all. In this episode of Making with ML, Dale Markowitz explains what transformers are, how they work, and why they’re so impactful. Watch to learn how you can start using transformers in your app! Chapters: 0:00 – Intro 0:51 – What are transformers? 3:18 – How do transformers work? 7:41 – How are transformers used? 8:35 – Getting started with transformers Watch more episodes of Making with Machine Learning → https://goo.gle/2YysJRY Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #MakingwithMachineLearning #MakingwithML product: Cloud – General; fullname: Dale Markowitz; re_ty: Publish;
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3waBO2R Jacob Devlin, Google AI Language https://research.google/people/106320/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL)