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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
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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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Questions

  1. Pathways is not a significant game-changer. (True/False)
  2. PaLM 2 uses the same embedding matrices for input and output operations. (True/False)
  3. PALM models have an encoder and a decoder stack. (True/False)
  4. Google Workspace assistants contain Generative AI. (True/False)
  5. All transformers are implemented for Generative AI. (True/False)
  6. A generative LLM cannot perform discriminative tasks. (True/False)
  7. Transformer models have reached their limits. (True/False)
  8. PaLM 2 is the last Generative AI model Google will produce. (True/False)
  9. Prompt engineering is an alternative to fine-tuning. (True/False)
  10. Fine-tuning a transformer model does not require much dataset preparation. (True/False)
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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724
© 2024 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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