Zero-shot multitask learning

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 – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

InfoQ: BigScience Research Workshop Releases AI Language Model T0Hugging Face: bigscience / T0ppMultitask Prompted Training Enables Zero-Shot Task GeneralizationIEEE Specturm: How Deep Learning Works5 Deep Learning Activation Functions You Need to Know Something missing or broken? PRs welcome!

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