Create unique emails with ChatGPT
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Create unique and engaging emails with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Proven ChatGPT Prompts: Writing event follow-up emails
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8 Advanced ChatGPT Prompts: Send project update email
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7 Advanced ChatGPT Prompts: Send project completion email
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8 Proven ChatGPT Prompts: Send thank you email to client
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6 Advanced ChatGPT Prompts: Generating Cold Email Copies
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6 Expert ChatGPT Prompts: Writing complaint response emails
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6 Innovative ChatGPT Prompts: Writing customer satisfaction follow-up emails
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7 Strategic ChatGPT Prompts: Writing marketing emails
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6 Innovative ChatGPT Prompts: Writing negotiation emails
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6 Proven ChatGPT Prompts: Writing lead follow-up emails
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7 Strategic ChatGPT Prompts: Writing introduction emails
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6 Innovative ChatGPT Prompts: Developing rental payment reminder emails
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7 Expert ChatGPT Prompts: Create abandoned cart recovery plan
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5 Strategic ChatGPT Prompts: Send pre-written emails
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6 Proven ChatGPT Prompts: Crafting influencer outreach emails
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6 Innovative ChatGPT Prompts: Crafting social proof emails
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6 Strategic ChatGPT Prompts: Crafting appointment reminder emails
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6 Expert ChatGPT Prompts: Crafting feedback request emails
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7 Strategic ChatGPT Prompts: Writing prospecting emails
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Write ultra-short outreach emails
Write 3 examples of ultra-short 2-sentence outreach emails that only ask one curiosity-provoking question that connects to [free offer]. Include [firstname] and [blog post title]
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.