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 Proven ChatGPT Prompts: Creating sublease agreements
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6 Innovative ChatGPT Prompts: Creating property income reports
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6 Strategic ChatGPT Prompts: Developing property insurance policies
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6 Proven ChatGPT Prompts: Writing rental agreement amendments
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6 Innovative ChatGPT Prompts: Developing property budget reports
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6 Expert ChatGPT Prompts: Writing tenant contact information sheets
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6 Proven ChatGPT Prompts: Writing property performance reports
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6 Innovative ChatGPT Prompts: Developing tenant satisfaction surveys
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6 Strategic ChatGPT Prompts: Creating tenant move-in packets
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7 Innovative ChatGPT Prompts: Writing tenant performance reviews
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6 Strategic ChatGPT Prompts: Writing property inspection reports
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6 Innovative ChatGPT Prompts: Creating tenant lease renewal offers
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6 Expert ChatGPT Prompts: Writing tenant lease renewal letters
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6 Advanced ChatGPT Prompts: Creating tenant screening questionnaires
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Enhance Prompt Generation for ChatGPT with Advanced AI Roleplay
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6 Expert ChatGPT Prompts: Develop project plan
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6 Advanced ChatGPT Prompts: Develop project scope
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7 Innovative ChatGPT Prompts: Create project timeline
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6 Expert ChatGPT Prompts: Set up project management tools
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6 Strategic ChatGPT Prompts: Write project requirements
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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.