What is prompt engineering?
Let’s say you’re making spaghetti marinara for dinner. Sauce from a jar is perfectly fine. But what if you buy your tomatoes and basil from the farmers market to make your own sauce? Chances are it will taste a lot better. And what if you grow your own ingredients from your garden and make your own fresh pasta? A whole new level of deliciousness. Just as better ingredients into a generative AI model can make for better results. These inputs are called prompts, and the practice of writing them is called prompt engineering. Skilled prompt engineers design inputs to interact optimally with other inputs in a generative AI tool. These inputs help elicit better answers from the AI model, meaning the model can perform its tasks better, such as writing marketing emails, generating code, analysing and synthesising text, engaging with customers via chatbots, creating digital art, composing music, or any of the other hundreds, if not thousands, of current applications. Let’s look at an example. Say you want a generative AI model to help you promote an upcoming financial-planning workshop with the CFO of your organisation, Acme Inc. You provide a generative AI chatbot with a simple prompt: “Write a social post advertising a class.” Here’s the output: **Elevate Your Skills: Join Our Class!** Unlock new knowledge, connect with experts, and embrace growth. Limited spots available—reserve yours now! #LearnWithUs #SkillBuilding #ClassTime It’s pretty generic and unlikely to generate much interest. Let’s try again. This time, you make your prompt a little more specific: “Write a short social post advertising a financial-planning workshop with the CFO of Acme, Inc.” Here’s what the model gives you this time: **Master Your Finances with the CFO of Acme, Inc.!** Get ready to take charge of your financial future! Join our upcoming Financial Planning Workshop featuring the CFO of Acme, […]