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Create unique and engaging age with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Innovative ChatGPT Prompts: Writing incentive program personalized messaging frameworks
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7 Innovative ChatGPT Prompts: Developing incentive program employee surveys
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7 Strategic ChatGPT Prompts: Developing incentive program gamification strategies
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7 Strategic ChatGPT Prompts: Generating partnership performance reports
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8 Strategic ChatGPT Prompts: Crafting partnership agreement templates
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6 Innovative ChatGPT Prompts: Crafting social media crisis management plans
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6 Strategic ChatGPT Prompts: Creating customer engagement reports
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6 Strategic ChatGPT Prompts: Generating client management workflows
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6 Strategic ChatGPT Prompts: Developing custom sales playbooks
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6 Expert ChatGPT Prompts: Creating data-driven sales metrics
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6 Strategic ChatGPT Prompts: Developing sales forecasting models
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6 Advanced ChatGPT Prompts: Conducting sales process audits
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PlanGPT - Your Expert Planning Assistant
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6 Advanced ChatGPT Prompts: Writing blog articles
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6 Advanced ChatGPT Prompts: Creating targeted referral marketing campaigns
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6 Expert ChatGPT Prompts: Creating re-engagement surveys for win-backs
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6 Advanced ChatGPT Prompts: Writing follow-up emails
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6 Innovative ChatGPT Prompts: Drafting sales pitches
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6 Proven ChatGPT Prompts: Conducting lead scoring analysis
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6 Proven ChatGPT Prompts: Developing research-based marketing plans
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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.