Create unique C with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging C with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

7 Advanced ChatGPT Prompts: Request content from client

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chatgpt content creation prompts

6 Innovative ChatGPT Prompts: Gather client testimonials

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chatgpt project guidance prompts

6 Proven ChatGPT Prompts: Send client invoice

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chatgpt invoice generation efficiency

5 Strategic ChatGPT Prompts: Send proposal to client

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chatgpt proposal client

5 Strategic ChatGPT Prompts: Follow up on unpaid invoice

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chatgpt unpaid invoice follow-up

6 Advanced ChatGPT Prompts: Creating chat scripts for common issues

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6 Expert ChatGPT Prompts: Providing personalized product advice and recommendations

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product recommendations personalized advice sales

6 Strategic ChatGPT Prompts: Providing product recommendations

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6 Expert ChatGPT Prompts: Generating product release notes

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4 Expert ChatGPT Prompts: Generating product descriptions

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6 Strategic ChatGPT Prompts: Monitoring chat conversations

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chatgpt chat monitoring customer interactions

6 Innovative ChatGPT Prompts: Generating weekly chat reports

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chatgpt weekly chat reports customer sentiment

6 Innovative ChatGPT Prompts: Generating safety guidelines

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6 Innovative ChatGPT Prompts: Generating internal policy documents

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chatgpt policy creation automation

6 Expert ChatGPT Prompts: Generating chatbot responses for warranty inquiries

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ai chatbot customer service warranty inquiries

6 Strategic ChatGPT Prompts: Generating chatbot responses for technical inquiries

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chatgpt language model technical inquiries

6 Advanced ChatGPT Prompts: Generating refund confirmations

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6 Advanced ChatGPT Prompts: Generating shipping notifications

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6 Innovative ChatGPT Prompts: Generating quick, concise responses

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chatgpt customer service natural language processing

6 Strategic ChatGPT Prompts: Designing chatbots for FAQ support

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chatgpt faq support chatbot

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.