Prompt Engineering for Generative AI by James Phoenix Future-Proof Inputs for Reliable AI Outputs
What's it about? 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. Generative AI models are making leaps and bounds on an almost daily basis. The pace is so relentless it’s hard to keep up. But keep up we must, for one thing is certain: AI is here to stay. As it evolves, industries evolve with it, and it’s certain to infiltrate more and more lines of work in years to come. That being said, AI isn’t a mind reader – or perhaps, not yet. It won’t always give you what you were expecting. In fact, it will often make things up with the utmost confidence – a phenomenon referred to as hallucination. The quality ...