Prompt Engineering for Generative AI

Prompt Engineering for Generative AI

Future-Proof Inputs for Reliable AI Outputs
by James Phoenix
Science 20 min read ★★★★☆ 4.2 (47)
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About This Book

Prompt Engineering for Generative AI (2024) is a comprehensive guide to working effectively with text and image generating AI. It highlights five key principles that form the backbone of effective prompts for large language models like ChatGPT and diffusion models like Stable Diffusion. It explores the computational mechanisms behind these models, and gives a host of practical tips and ideas for improving your AI workflow.

Who Should Read This?

  • Content creators using ChatGPT or similar platforms
  • Business professionals seeking competitive AI advantages
  • Developers wanting to harness AI tools effectively

About the Author

Mike Taylor co-founded Ladder, a 50-person marketing agency that worked with major brands like Unilever and Nestle. He’s also created courses on LinkedIn Learning, Vexpower and Udemy, all of which have been taken by over 400,000 people. James Phoenix specializes in data pipelines and marketing automation, having taught over 60 data science boot camps on the tech education platform General Assembly. He partnered with Mike Taylor on an Udemy course teaching data science.