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.
6 Strategic ChatGPT Prompts: Developing minimum viable product
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6 Expert ChatGPT Prompts: Writing product requirements
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6 Advanced ChatGPT Prompts: Generating product feature ideas
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Identifying Small to Medium Sized Businesses Needing Automation in Various Areas
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Crafting a Value Ladder Strategy for Business Growth
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Analyzing ALT Alex Hormozi's Value Equation Dream Score Mega-Prompt
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6 Expert ChatGPT Prompts: Conducting business intelligence assessments
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6 Innovative ChatGPT Prompts: Creating business intelligence dashboards
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6 Advanced ChatGPT Prompts: Conducting industry research
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5 Expert ChatGPT Prompts: Creating a sales strategy
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6 Strategic ChatGPT Prompts: Researching competitors
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6 Proven ChatGPT Prompts: Generating elevator pitch
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6 Proven ChatGPT Prompts: Identifying growth opportunities
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6 Innovative ChatGPT Prompts: Creating SWOT analysis
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7 Advanced ChatGPT Prompts: Identifying target market
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5 Expert ChatGPT Prompts: Generating mission statement
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6 Strategic ChatGPT Prompts: Generating financial projections
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6 Advanced ChatGPT Prompts: Ensuring compliance with localization regulations
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6 Innovative ChatGPT Prompts: Developing localization training
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6 Innovative ChatGPT Prompts: Conducting localization assessments
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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.