Create unique response with ChatGPT
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Create unique and engaging response with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Proven ChatGPT Prompts: Creating treatment plan suggestions
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6 Expert ChatGPT Prompts: Generating customer support email responses
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6 Proven ChatGPT Prompts: Responding to FAQs
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6 Strategic ChatGPT Prompts: Creating orientation presentations
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6 Expert ChatGPT Prompts: Generating quick response emails
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7 Advanced ChatGPT Prompts: Handling chat support crises in real-time
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6 Advanced ChatGPT Prompts: Generating automated responses for common issues and inquiries
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8 Advanced ChatGPT Prompts: Review project risks
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7 Innovative ChatGPT Prompts: Respond to team inquiry
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6 Innovative ChatGPT Prompts: Handling candidate rejections
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6 Proven ChatGPT Prompts: Handling web user feedback
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6 Proven ChatGPT Prompts: Communicating with stakeholders
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6 Proven ChatGPT Prompts: Handling customer complaints
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6 Expert ChatGPT Prompts: Handling email automation
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6 Expert ChatGPT Prompts: Writing complaint response emails
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6 Advanced ChatGPT Prompts: Developing issue management plans
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6 Strategic ChatGPT Prompts: Writing inspection responses
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7 Strategic ChatGPT Prompts: Creating incentive program loyalty point systems
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6 Proven ChatGPT Prompts: Generating out-of-office responses
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6 Proven ChatGPT Prompts: Crafting email response templates
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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.”
![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k
Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.
Going from beginner → advanced prompt engineer
As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how
Spend time with the tools
- The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
- Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.
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.