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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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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 just 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. 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 as downstream since we did not pretrain them.

Models will evolve, as will databases, benchmark methods, accuracy measurement methods, and leaderboard criteria. But the structure of human thought reflected through the downstream tasks in this chapter...

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Transformers for Natural Language Processing - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781803247335

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