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You're reading from  Transformers for Natural Language Processing - Second Edition

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781803247335
Edition2nd Edition
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Mobile Application Development
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Author (1)
Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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Summary

In this chapter, we discovered the new era of transformer models training billions of parameters on supercomputers. OpenAI’s GPT models are taking NLU beyond the reach of most NLP development teams.

We saw how a GPT-3 zero-shot model performs many NLP tasks through an API and even directly online without an API. The online version of Google Translate has already paved the way for mainstream online usage of AI.

We explored the design of GPT models, which are all built on the original transformer’s decoder stack. The masked attention sub-layer continues the philosophy of left-to-right training. However, the sheer power of the calculations and the subsequent self-attention sub-layer makes it highly efficient.

We then implemented a 345M parameter GPT-2 model with TensorFlow. The goal was to interact with a trained model to see how far we could get with it. We saw that the context provided conditioned the outputs. However, it did not reach the results...

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Transformers for Natural Language Processing - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781803247335
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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