Create unique measurement with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging measurement with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Proven ChatGPT Prompts: Converting measurements and units
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How to Measure and Analyze ROI of Growth Hacking Efforts with ChatGPT
Act as a growth hacker and develop a system for measuring and analyzing the ROI of growth hacking efforts to track the success of marketing efforts. {ROI measurement and analysis system}
Measure Product Performance and Customer Satisfaction for Your App with ChatGPT
How can we measure product performance and customer satisfaction for {our app}?
Creating an Office Growth Evaluation and Measurement Plan
How can I create an office growth evaluation and measurement plan?
Measuring the ROI of Email Marketing
How can I measure the ROI of my email marketing efforts?
Measuring Success in Social Media Marketing Campaigns
Can you describe the different ways to measure the success of a social media marketing campaign?
Measuring the Success of Email Segmentation Efforts
How can I measure the success of my email segmentation efforts?
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.