Create unique chat GPT with ChatGPT
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Create unique and engaging chat GPT with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
How Chat GPT Streamlined a Company's Accounting Processes: A Case Study
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Chat GPT's Future in Software Development
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How Chat GPT Helped a Client Improve Search Engine Rankings: A Case Study
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Five Chat GPT Features to Optimize Performance
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Five Chat GPT Tools Every Programmer Should Utilize
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Creating a List of the Top Five Chat GPT Tools Every Accountant Should Use
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Create a List of Five Chat GPT Features That Can Assist With Budgeting and Projections
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The Advantages of Using Chat GPT for Agile Development
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Creating a Case Study Detailing How Chat GPT Assisted a Client in Improving Their Search Engine Rankings
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10 Tips for Using Chat GPT to Improve SEO
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The Benefits of Using Chat GPT for Programming
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Case Study: How Chat GPT Assisted a Company in Expanding its Social Media Following
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The Significance of Using Chat GPT to Keep Up With Social Media Trends
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Advantages of Using Chat GPT for Social Media
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Creating a List of the Top Five GPT Chat Tools Every Game Developer Should Employ
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Chat GPT's Future in Accounting and Finance
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Advantages of Using Chat GPT for Accounting and Finance
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Comment on a Chat GPT Plugin for Your Favorite IDE
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Five Chat GPT Features to Aid Documentation
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Top 5 Chat GPT Tools Every Developer Should Employ
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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.”
![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.