Create unique Al with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and high-quality Al with ChatGPT, a state-of-the-art pre-trained language model powered by OpenAI that can generate accurate and engaging content about artificial intelligence and related topics.

7 Advanced ChatGPT Prompts: Develop referral program

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6 Strategic ChatGPT Prompts: Analyze sales data

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7 Strategic ChatGPT Prompts: Research industry trends

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5 Strategic ChatGPT Prompts: Conduct SWOT analysis

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7 Innovative ChatGPT Prompts: Create lead scoring system

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5 Strategic ChatGPT Prompts: Create social media plan

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7 Strategic ChatGPT Prompts: Research target audience

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7 Expert ChatGPT Prompts: Review sales strategy

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8 Innovative ChatGPT Prompts: Provide training to team member

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8 Expert ChatGPT Prompts: Schedule team training session

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6 Innovative ChatGPT Prompts: Approve team budget

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7 Innovative ChatGPT Prompts: Provide team feedback

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7 Innovative ChatGPT Prompts: Respond to team inquiry

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7 Innovative ChatGPT Prompts: Approve team expense report

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7 Innovative ChatGPT Prompts: Provide team with feedback on team performance

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6 Advanced ChatGPT Prompts: Approve time off request

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6 Innovative ChatGPT Prompts: Monitor social media metrics

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7 Innovative ChatGPT Prompts: Review website conversion rates

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6 Advanced ChatGPT Prompts: Analyze cost per acquisition data

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9 Advanced ChatGPT Prompts: Create monthly performance report

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chatgpt performance reports natural language processing

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.