It’s not unreasonable to predict that 2024 is going to be the year of AI. Between ChatGPT dominating the headlines in 2023 and the introduction of alternatives like Microsoft’s AI-powered Bing and Anthropic’s Claude, it’s safe to say that AI — and specifically generative AI — is going to be front and center this year.
If you’re hesitant to hop on board the AI train, 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. 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.
Much like you didn’t become an expert in crafting Google search queries overnight, 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 AI’s 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 will most likely not get you the results you want.
If you ask AI “How can I become…
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