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.
7 Proven ChatGPT Prompts: Managing chatbot and virtual assistant performance
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6 Proven ChatGPT Prompts: Tracking and analyzing customer data to provide targeted solutions
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7 Expert ChatGPT Prompts: Conduct project kick-off call
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7 Proven ChatGPT Prompts: Research lead sources
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7 Expert ChatGPT Prompts: Conduct focus group
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7 Strategic ChatGPT Prompts: Create customer journey map
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7 Advanced ChatGPT Prompts: Develop referral program
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5 Strategic ChatGPT Prompts: Conduct SWOT analysis
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7 Proven ChatGPT Prompts: Provide team with resources
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5 Proven ChatGPT Prompts: Review team work quality
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7 Advanced ChatGPT Prompts: Confirm project requirements
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6 Expert ChatGPT Prompts: Identifying sales leads
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5 Innovative ChatGPT Prompts: Ensuring compliance with influencer marketing regulations
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6 Proven ChatGPT Prompts: Developing influencer marketing campaigns
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6 Innovative ChatGPT Prompts: Analyzing influencer marketing metrics
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7 Innovative ChatGPT Prompts: Developing project risk assessments
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7 Proven ChatGPT Prompts: Manage household inventory
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6 Strategic ChatGPT Prompts: Crafting topic clusters for SEO
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6 Advanced ChatGPT Prompts: Generating Backend Keywords
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6 Expert ChatGPT Prompts: Designing Chatbot User Experience
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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.”
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.