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You're reading from  Transformers for Natural Language Processing and Computer Vision - Third Edition

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Published inFeb 2024
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PublisherPackt
ISBN-139781805128724
Edition3rd Edition
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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.
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Running downstream tasks

In this section, we will jump into some transformer cars and drive them around a bit to see what they do. There are many models and tasks. We will run a few of them in this section. We will be going through variants of these models during our journey in the book. Once you understand the process of running a few tasks, you will quickly understand all of them. After all, the human baseline for all these tasks is us!

A downstream task is a fine-tuned transformer task that inherits the model and parameters from a pretrained transformer model.

A downstream task is thus the perspective of a pretrained model running fine-tuned tasks. That means, depending on the model, a task is downstream if it was not used to fully pretrain the model. In this section, we will consider all the tasks downstream since we did not pretrain them.

Models will evolve, as will databases, benchmark methods, accuracy measurement methods, and leaderboard criteria. However, the...

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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724

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