Create unique data visualization with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging data visualization with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content. The importance of data visualization cannot be overstated in today's data-driven world. With ChatGPT, you can easily create intuitive and visually appealing data visualizations that can help drive insights and decision-making. Whether it's for business purposes or personal projects, ChatGPT is the perfect tool to create compelling data visualizations that will grab your audience's attention and communicate your message effectively.
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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.