Create unique R with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging R with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Strategic ChatGPT Prompts: Calculating invoice totals
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5 Strategic ChatGPT Prompts: Managing accounts payable and receivable
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6 Innovative ChatGPT Prompts: Conducting basic financial analysis
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6 Strategic ChatGPT Prompts: Drafting business proposals
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6 Expert ChatGPT Prompts: Creating simple financial statements
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6 Advanced ChatGPT Prompts: Generating monthly expense reports
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6 Strategic ChatGPT Prompts: Creating basic budgets
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6 Proven ChatGPT Prompts: Providing legal financial advice
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6 Advanced ChatGPT Prompts: Filing tax returns
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6 Proven ChatGPT Prompts: Auditing financial statements
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6 Innovative ChatGPT Prompts: Creating complex financial models
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6 Advanced ChatGPT Prompts: Managing investments
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6 Expert ChatGPT Prompts: Generating expense reports
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6 Advanced ChatGPT Prompts: Generating financial reports
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6 Strategic ChatGPT Prompts: Writing budget proposals
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6 Expert ChatGPT Prompts: Crafting press releases
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6 Strategic ChatGPT Prompts: Writing book summaries
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6 Proven ChatGPT Prompts: Creating marketing copy for social media
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7 Expert ChatGPT Prompts: Generating content for blog posts
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6 Strategic ChatGPT Prompts: Crafting blog post headlines
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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.