Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Transformers for Natural Language Processing and Computer Vision - Third Edition

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

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781805128724
Pages 728 pages
Edition 3rd Edition
Languages
Author (1):
Denis Rothman Denis Rothman
Profile icon Denis Rothman

Table of Contents (24) Chapters

Preface What Are Transformers? Getting Started with the Architecture of the Transformer Model Emergent vs Downstream Tasks: The Unseen Depths of Transformers Advancements in Translations with Google Trax, Google Translate, and Gemini Diving into Fine-Tuning through BERT Pretraining a Transformer from Scratch through RoBERTa The Generative AI Revolution with ChatGPT Fine-Tuning OpenAI GPT Models Shattering the Black Box with Interpretable Tools Investigating the Role of Tokenizers in Shaping Transformer Models Leveraging LLM Embeddings as an Alternative to Fine-Tuning Toward Syntax-Free Semantic Role Labeling with ChatGPT and GPT-4 Summarization with T5 and ChatGPT Exploring Cutting-Edge LLMs with Vertex AI and PaLM 2 Guarding the Giants: Mitigating Risks in Large Language Models Beyond Text: Vision Transformers in the Dawn of Revolutionary AI Transcending the Image-Text Boundary with Stable Diffusion Hugging Face AutoTrain: Training Vision Models without Coding On the Road to Functional AGI with HuggingGPT and its Peers Beyond Human-Designed Prompts with Generative Ideation Other Books You May Enjoy
Index
Appendix: Answers to the Questions

Part III: Automated generative ideation with Stable Diffusion

This section demonstrates how to automate the process of instructing a Large Language Model to generate prompts automatically without human intervention, as shown in Figure 20.11. We will illustrate the process with the example of a small business that doesn’t have marketing resources but would like to generate images for posters.

A diagram of a process flow

Figure 20.11: A fully automated Generative AI ideation process

Figure 20.11 shows the fully automated process:

  1. No prompt: The prompt will not be interactive. The program will create the prompt automatically. As such, AF1 is the function that takes the output of the automated instruction and sends it to an LLM as input to generate prompts automatically.
  2. Generative AI (prompt generation): ChatGPT, GPT-4, will generate text-to-image prompts automatically. The AF2 function will automatically chain GPT-4 to Stable Diffusion without human intervention.
  3. Generative...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}