It’s not unreasonable to predict that 2024 is going to be the year of AI. Between ChatGPT dominating the headlines in 2023 and alternatives like Microsoft’s AI-powered Bing and Anthropic’s Claude popping up, it’s safe to say that AI — specifically generative AI — is going to be front and center this year.
If you’re hesitant dive into AI, you’re not alone. In 2023, the Pew Research Center found that 52% of Americans were more concerned than excited about AI becoming a part of their daily lives. Speaking from my own experience, I was incredibly hesitant to even experiment or play with AI at the beginning of last year. However, once I did, I felt a bit more comfortable using AI. Especially once I knew how to ask it the right questions.
One thing that helped me become more comfortable with generative AI — which produces text and images by drawing on immense quantities of data — was making sure I was asking it well-constructed questions, or prompts. Much like learning how to ask the right Google search questions to get usable results, “prompt engineering” is the craft — and art — of creating detailed and focused prompts to get generative AI models to do what you want them to do.
Back when Google first hit the scene, you didn’t become an expert in crafting effective search queries overnight, and the same will be true of prompt engineering. It will take time to become a master at building productive prompts for generative AI. If you want to get started with prompt engineering and learn about how to use the AIs in your life a bit more effectively, you’re in the right place.
I’ve tested an AI use case on a couple of different AI generative models to give you the skinny on how to start on the road to becoming a competitive prompt engineer, no matter which AI model you’re using. For more, here’s what to know about AI on your phones and how Adobe is thinking about AI.
General queries won’t quite cut it
The first thing to know is that writing short, broad prompts…
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