Create unique assessment with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging assessment with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Creating an Opinion on Email Marketing Regulations Compliance

How can I ensure compliance with email marketing regulations for different types of reporting and accountability, such as data protection impact assessments, records of processing activities, and data breach notifications?

email marketing compliance reporting accountability data protection impact assessments processing activities breach notifications

Generating an Opinion about Email Marketing Practices and the GDPR's Requirements for DPIAs

How can I ensure that my email marketing practices comply with the GDPR's requirement for conducting regular data protection impact assessments (DPIAs)?

email marketing gdpr dpias data protection impact assessments

Best Practices for Incorporating Formative Assessment into Daily Instruction

What are some best practices for incorporating formative assessment into daily instruction?

formative assessment best practices daily instruction

Explaining the Difference between Formative and Summative Assessments

Can you explain the difference between formative and summative assessments?

formative assessment summative assessment education assessment

Summarizing LinkedIn Profiles: Identifying Top 5 Pain Points for an Effective Job Role Assessment

Summarize [LinkedIn profile url] and list the top 5 pain points they likely face in their current role.

linkedin profile pain points job assessment

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.