Create unique Row with ChatGPT
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Create unique and engaging Row with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Advanced ChatGPT Prompts: Conducting competitive analysis
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91 Advanced ChatGPT Prompts: Building Content Around Topics with ChatGPT
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6 Proven ChatGPT Prompts: Developing networking strategies
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6 Expert ChatGPT Prompts: Providing mentorship
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Crafting a Value Ladder Strategy for Business Growth
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6 Proven ChatGPT Prompts: Identifying growth opportunities
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6 Proven ChatGPT Prompts: Test website for cross-browser compatibility
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6 Expert ChatGPT Prompts: Suggest growth resources
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7 Advanced ChatGPT Prompts: Help find engaging hobbies
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6 Expert ChatGPT Prompts: Developing social media growth hacking strategies
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11 Strategic ChatGPT Prompts: Your Free Sales Advisor
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6 Strategic ChatGPT Prompts: Creating sales growth trend reports
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Expert Marketing Funnel Ideas for Your Business Growth
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6 Strategic ChatGPT Prompts: Automating Youtube Channel Growth
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6 Expert ChatGPT Prompts: Automating Growth on YouTube
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6 Innovative ChatGPT Prompts: B2B Linkedin Growth Automation
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6 Innovative ChatGPT Prompts: Automating Linkedin Content Growth
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6 Expert ChatGPT Prompts: Automating Tiktok Channel Growth
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6 Advanced ChatGPT Prompts: B2B Twitter Growth Automation
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6 Advanced ChatGPT Prompts: Automating Growth on Instagram
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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.