Create unique market research with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging market research with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
How to Create a List of the Best Alt Tags for Images Related to [TOPIC]
Create a list of the best alt tags for images related to [TOPIC]
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.
Conducting a Comprehensive Competitive Analysis for Competitor URL for Business Growth
Conduct a competitive analysis of [competitor URL] to identify their strengths and weaknesses. Analyze their strategies, customer service, pricing strategies, customer feedback, etc.
Best Practices for Conducting User Research and Usability Testing
What is the best way to conduct user research and usability testing to identify areas of improvement and opportunities for optimization?
Identifying Potential Partners in Your Industry: Finding Complementary Products/Services and Target Audiences
Can you identify potential partners in my industry who have a similar target audience and complementary products/services?
Research the Best Tactics for E-Commerce Optimization
Research the best tactics for [TOPIC] e-commerce optimization. Provide keyword clusters.
Generate a List of Related Keywords for [Topic]
Generate a list of related keywords for [TOPIC]
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.