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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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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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Explainable AI (XAI)

You can add XAI to your programs if you are interested in implementing advanced prompt engineering with OpenAI’s state-of-the-art models that can explain outputs. ChatGPT can explain source code. It can also explain its own outputs to a certain extent.

We went through some of the main aspects of explainable AI in Chapter 14, Interpreting Black Box Transformer Models.

To go further, you can try using ChatGPT to explain ChatGPT outputs and other tools by running XAI_by_ChatGPT_for_ChatGPT.ipynb, which is in the Bonus directory of the GitHub repository of this book. The program runs a ChatGPT XAI analysis of a ChatGPT output and also shows how to explain outputs with SHAP.

The notebook is self-contained and can help you, the advanced reader, build XAI on top of the tools in this notebook.

Let’s add audio to our dialogue with ChatGPT.

Speech-to-text with Whisper

In this section, we will run a speech-to-text model...

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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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