Create unique influencers with ChatGPT

Search and store tool for Chat GPT Prompt

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

4 Advanced ChatGPT Prompts: Personalizing Messages For Influencers
 4 Advanced ChatGPT Prompts: Personalizing Messages For Influencers
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Growth Hack Your Way to Brand Mentions with ChatGPT
 Growth Hack Your Way to Brand Mentions with ChatGPT
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Act as a growth hacker and create a list of target publications and influencers to target for press and brand mentions in the industry. {Target publications and influencers}

The Role of Social Media Influencers and their Impact on Consumer Behavior

What is the role of social media influencers and how do they impact consumer behavior?

Identifying and Engaging with Relevant Industry Journalists, Bloggers, and Influencers: Best Practices

What is the best way to identify and engage with relevant journalists, bloggers, and influencers in my industry or niche?

Creating an Affiliate Marketing Strategy with Partnerships and Influencers

Can you create an affiliate marketing strategy that leverages partnerships with other websites and influencers to drive traffic and revenue to my site?

Building Influencer Relationships with Event Marketing Techniques

How can I use event marketing to build relationships with influencers and thought leaders in my industry?

How to generate a list of highly engaged micro-influencers for your brand

Can you generate a list of micro-influencers that align with my brand and have a highly engaged audience?

Create a List of Potential Influencers for a Topic

Create a list of potential influencers 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.


What is prompt engineering

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.


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.
play background gpt3

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.