A prompt is the natural language text you pass to generative AI. Prompt engineering is the art of fine-tuning these prompts to better communicate with generative AI. As Arturo Buzzalino, Chief Innovation Officer, Epicor explains, the value of prompt engineering lies in optimizing how the AI interprets and responds to queries. When done right, it ensures that the AI produces relevant, accurate, and useful outputs. In other words, prompt engineering is the process of designing the inputs to a generative AI model to create valuable outputs. "What I find fascinating about this process is that throughout the history of people at work, we have placed a premium on the "answers" that people have," says Simon Morris, VP of Solution Consulting, ServiceNow. "The world has now changed where large language models contain all of the answers, and the premium is now on the quality of the questions or prompts, that can be created." Why do we need prompt engineering? Arguing that we live in a world of brilliant questions rather than insightful answers, Morris says the value of prompt engineering is that business value can be derived from large language models (LLMs) in a context-specific, use-case-driven way. The quality of an answer is directly linked to the quality of the prompt and effective prompt engineering is critical to realize value from this emerging technology, believes Morris. Stefan Leichenauer, VP Engineering, SandboxAQ says that the way you prompt a generative AI model can make a huge difference in the output. This is what makes prompt engineering a critical skill for leveraging the GenAI models effectively. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors "In an industrial context, prompt engineering can help align…