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.
8 Expert ChatGPT Prompts: Analyze lead generation data
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6 Innovative ChatGPT Prompts: Monitor customer engagement data
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7 Innovative ChatGPT Prompts: Track customer retention rates
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6 Expert ChatGPT Prompts: Review customer feedback data
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7 Strategic ChatGPT Prompts: Create social media content calendar
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7 Expert ChatGPT Prompts: Provide budget analysis
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7 Innovative ChatGPT Prompts: Approve expense report
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7 Proven ChatGPT Prompts: Update financial forecast
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8 Expert ChatGPT Prompts: Manage accounts payable
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7 Strategic ChatGPT Prompts: Monitor project budget
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7 Innovative ChatGPT Prompts: Create payment plan
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7 Innovative ChatGPT Prompts: Create profit and loss statement
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7 Strategic ChatGPT Prompts: Review financial statements
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7 Proven ChatGPT Prompts: Analyze financial data
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7 Innovative ChatGPT Prompts: Create financial report
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6 Strategic ChatGPT Prompts: Provide project scope clarification
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7 Advanced ChatGPT Prompts: Request client feedback
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7 Advanced ChatGPT Prompts: Send project completion email
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6 Innovative ChatGPT Prompts: Provide project status update
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7 Strategic ChatGPT Prompts: Schedule call with client
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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.