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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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Summary

In this chapter, we first defined generative ideation. The core concept resides in one sentence:

AI has gone from executing tasks based on human prompts to automating ideation enhancing human thinking and imagination in an ethical ecosystem.

Generative ideation can be constructive and implemented without destroying human jobs. For example, generative ideation can help small businesses with no marketing resources to access human-level AI services to compete with larger entities.

We then demonstrated that generative text-to-image ideation was possible with ChatGPT/GPT-4, Llama 2, Midjourney, and Microsoft Designer.

Finally, we automated the generative text-to-image ideation pipeline with automated prompt design, ChatGPT/GPT-4, and Stable Diffusion. We saw that you could use the multiple tools explored in this book to build an effective ecosystem.

We also peeked into the future of automation and AI productivity.

You can leverage automated human thinking...

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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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