Create unique metrics with ChatGPT
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Create unique and engaging metrics with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Strategic ChatGPT Prompts: Creating leadership development scorecards
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6 Strategic ChatGPT Prompts: Creating HR metrics
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6 Advanced ChatGPT Prompts: Developing performance metrics
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7 Advanced ChatGPT Prompts: Analyze marketing metrics
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6 Innovative ChatGPT Prompts: Monitor social media metrics
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6 Advanced ChatGPT Prompts: Analyze email campaign metrics
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75 Innovative ChatGPT Prompts: SEO Auditing
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6 Expert ChatGPT Prompts: Analyzing content marketing metrics
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6 Innovative ChatGPT Prompts: Analyzing email marketing metrics
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6 Strategic ChatGPT Prompts: Analyzing marketing metrics
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6 Expert ChatGPT Prompts: Developing customer feedback metrics
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6 Strategic ChatGPT Prompts: Creating project performance metrics
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6 Expert ChatGPT Prompts: Creating sales performance metrics
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7 Strategic ChatGPT Prompts: Developing partnership metrics dashboards
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6 Expert ChatGPT Prompts: Creating data-driven sales metrics
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6 Expert ChatGPT Prompts: Crafting monthly sales summaries
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6 Innovative ChatGPT Prompts: Analyzing Performance Metrics
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6 Expert ChatGPT Prompts: Analyzing PR Engagement Metrics
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6 Proven ChatGPT Prompts: Analyzing Chatbot Engagement and Conversion Metrics
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prevent gptzero
Perplexity is a measure of how well an AI algorithm understands the context and content of a prompt. It is determined by how accurately it can predict what words or phrases are likely to come next in the response given its understanding of the prompt. The lower the perplexity, the better the AI algorithm's understanding of the prompt. Burstiness, on the other hand, measures how often new words or ...
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.