Machine Learning. Google T5: Text-To-Text Transfer Transformer. Study session.

T5 can be used as a library for future model development by providing useful modules for training and fine-tuning (potentially huge) models on mixtures of text-to-text tasks. https://github.com/google-research/text-to-text-transfer-transformer https://arxiv.org/abs/1910.10683 Requirements: General Knowledge of NLP process, TensorFlow, examples will be in Python/Colab About Presenter: Dan Gon

Jun 14, 2020, 5:00 – 7:00 PM

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T5 can be used as a library for future model development by providing useful modules for training and fine-tuning (potentially huge) models on mixtures of text-to-text tasks.
https://github.com/google-research/text-to-text-transfer-transformer
https://arxiv.org/abs/1910.10683

Requirements: General Knowledge of NLP process, TensorFlow, examples will be in Python/Colab

About Presenter: Dan Goncharov is GDE(Google Developer Expert) in ML.

Organizer

  • Daniel Goncharov

    GDG Organizer

    Head of AI lab

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