Create unique OR content with ChatGPT
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Create unique and engaging OR content with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Proven ChatGPT Prompts: Providing technical support
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7 Strategic ChatGPT Prompts: Tracking competitor activities
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7 Advanced ChatGPT Prompts: Generating weekly email reports for insights
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6 Strategic ChatGPT Prompts: Offering account management support
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6 Strategic ChatGPT Prompts: Offering technical support and solutions
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6 Strategic ChatGPT Prompts: Responding to lost password emails
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6 Strategic ChatGPT Prompts: Troubleshooting product issues
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7 Advanced ChatGPT Prompts: Handling chat support crises in real-time
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7 Strategic ChatGPT Prompts: Building customer trust and loyalty through chat support
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7 Innovative ChatGPT Prompts: Collaborating with other support teams
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7 Proven ChatGPT Prompts: Managing chatbot and virtual assistant performance
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7 Advanced ChatGPT Prompts: Providing instant chat support
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7 Strategic ChatGPT Prompts: Providing training and guidelines for chat support
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6 Innovative ChatGPT Prompts: Generating weekly phone reports for insights and improvement
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6 Strategic ChatGPT Prompts: Offering account management and security support over the phone
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6 Innovative ChatGPT Prompts: Offering payment and billing support over the phone
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6 Proven ChatGPT Prompts: Providing instant phone support for urgent issues
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6 Innovative ChatGPT Prompts: Creating and delivering effective phone support training
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6 Advanced ChatGPT Prompts: Generating automated responses for common issues and inquiries
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6 Advanced ChatGPT Prompts: Troubleshooting technical problems over the phone
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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.