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7 Strategic ChatGPT Prompts: Optimizing chatbot and virtual assistant performance for accuracy
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6 Advanced ChatGPT Prompts: Optimizing chatbot and virtual assistant performance for personalization
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75 Proven ChatGPT Prompts: XML Sitemaps and Robots.txt
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6 Innovative ChatGPT Prompts: Designing chatbots for user feedback and survey support
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6 Strategic ChatGPT Prompts: Creating chatbots for lead generation and qualification
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6 Advanced ChatGPT Prompts: Designing chatbots for sales support
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6 Strategic ChatGPT Prompts: Optimizing chatbot and virtual assistant performance for speed
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6 Innovative ChatGPT Prompts: Providing chatbot and VA training on complex issues
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6 Innovative ChatGPT Prompts: Updating chatbot and VA content for promotions
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6 Proven ChatGPT Prompts: Generating holiday-specific email campaigns
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7 Proven ChatGPT Prompts: Managing chatbot and virtual assistant performance
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6 Expert ChatGPT Prompts: Providing customer insights through chat
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6 Expert ChatGPT Prompts: Managing phone queues and handling high volume call periods
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6 Expert ChatGPT Prompts: Generating chatbot responses for warranty inquiries
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6 Strategic ChatGPT Prompts: Designing chatbots for FAQ support
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6 Strategic ChatGPT Prompts: Developing chatbot scripts for lead generation
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6 Proven ChatGPT Prompts: Create website robots.txt
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6 Proven ChatGPT Prompts: Crafting custom lead nurturing chatbot scripts
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6 Expert ChatGPT Prompts: Designing Chatbot User Experience
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6 Strategic ChatGPT Prompts: Implementing Chatbots on Various Channels
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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.