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Zero-shot multitask learning (Practical AI #158)


In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.

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Featuring:

  • Chris Benson – Twitter, GitHub, LinkedIn, Website
  • Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

  • InfoQ: BigScience Research Workshop Releases AI Language Model T0
  • Hugging Face: bigscience / T0pp
  • Multitask Prompted Training Enables Zero-Shot Task Generalization
  • IEEE Specturm: How Deep Learning Works
  • 5 Deep Learning Activation Functions You Need to Know

Something missing or broken? PRs welcome!


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 November 24, 2021  46m