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7 Innovative ChatGPT Prompts: Suggest leisure activities
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7 Strategic ChatGPT Prompts: Suggest movies to watch
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7 Innovative ChatGPT Prompts: Suggest podcasts to listen to
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7 Advanced ChatGPT Prompts: Help find engaging hobbies
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7 Expert ChatGPT Prompts: Suggest study techniques
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7 Proven ChatGPT Prompts: Provide test-taking tips
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7 Expert ChatGPT Prompts: Recommend educational programs
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5 Advanced ChatGPT Prompts: Provide academic support
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5 Expert ChatGPT Prompts: Help plan study schedule
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7 Innovative ChatGPT Prompts: Suggest skill-building exercises
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7 Proven ChatGPT Prompts: Suggest educational technology
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5 Innovative ChatGPT Prompts: Recommend learning strategies
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Enhancing Prompt Engineering for ChatGPT: Advanced AI Roleplay Game
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7 Strategic ChatGPT Prompts: Developing incentive program VIP tiers
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7 Innovative ChatGPT Prompts: Generating incentive program gift card programs
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7 Proven ChatGPT Prompts: Crafting incentive program performance tracking systems
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7 Innovative ChatGPT Prompts: Writing incentive program personalized messaging frameworks
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7 Strategic ChatGPT Prompts: Creating incentive program loyalty point systems
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7 Strategic ChatGPT Prompts: Generating incentive program customer feedback loops
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5 Innovative ChatGPT Prompts: Crafting incentive program referral bonus structures
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What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.
In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”
Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.