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

Product typeBook

Published inFeb 2024

Reading LevelN/a

PublisherPackt

ISBN-139781805128724

Edition3rd Edition

Languages

Python

Tools

PyTorch

Concepts

Deep Learning

Author (1)

Denis Rothman

Index

accuracy score 82

Ada embeddings

running 340

saving, for future reuse 340

used, for transfer learning 338

Adam optimizer 145

AI agents

conditions, for replication 455, 457

AI professionals

decision-making guidelines 30

domains 29

resources 29, 30

role 28, 29

AI revolution

token to 17, 18, 19, 20

Amazon Fine Food Reviews dataset 338

Amazon Web Services (AWS) 1, 31, 332

argument 353

ask functionality 335, 336

example question 336

wrong answers, troubleshooting 336, 337

associative neural networks 16

Asynchronous JavaScript and XML (AJAX) 118

attention heads

output, streaming of 254, 255, 256

attention layer 4, 5

computational time complexity 5

attention scores

word relationships, visualizing with 256, 257, 258, 259

Auto-BIG-bench 447, 448, 449, 450, 451, 452, 453

automated generative ideation

automated instruction for GPT-4 641, 642, 643

generative...

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Author (1)

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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