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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
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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.
Read more about Denis Rothman

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Part I: Defining generative ideation

Ideation refers to creating new ideas through intuitive thinking, brainstorming, and other imaginative methods.

Generative ideation leverages Generative AI to create content such as text, text-to-image, image-to-text, and image-to-image artifacts.

Automated generative ideation takes generative ideation a step further and suppresses the need for human-designed prompts. The goal of this chapter is to show how to build such tools.

Let’s define an automated ideation architecture.

Automated ideation architecture

Figure 20.1 shows the framework implemented in this chapter:

A diagram of a process  Description automatically generated with medium confidence

Figure 20.1: Generative AI ideation framework

In this chapter, we will cover the four-step development process of automated generative ideation:

  1. No prompt

    Automated features, such as Python code, will automate document retrieval, parsing, and search in a now classical Generative AI Retrieval Augmented Generation (RAG) process.

    ...
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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