Create unique Tweet with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Tweet with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Innovative ChatGPT Prompts: Going Viral On Twitter
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6 Expert ChatGPT Prompts: Writing Twitter Content
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Generating 30 Tweet Ideas for Building Audience Engagement on Twitter
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Creating High-Quality and Visually Appealing Tweets
How do I ensure that my tweets are high-quality and visually appealing?
How to Avoid Tweeting Too Much About Politics or Controversial Topics
How do I avoid tweeting too much about politics or controversial topics?
Avoid Tweeting Offensive or Inappropriate Content
How do I avoid tweeting offensive or inappropriate content?
Creating Engaging Tweets: Tips and Strategies
What are some tips for creating engaging tweets?
Avoiding Repetition of Hashtags in Tweets
How do I avoid using the same hashtags in every tweet?
Creating a Viral Tweet
How do I make a viral tweet?
Specify the length of your output in the prompt to have more control of the generation
Write a 280-character witty Tweet about Meta and the Metabase.
Generating an Opinion on Adding Photos and Videos to Tweets
How do I add photos and videos to my tweets?
What is Twitter and how does it work?
What is Twitter and how does it work?
Generate an opinion about the content of the input: Assume the table names and generate an SQL code to find out Elon Musk's tweets from 2019
Assume the table names and generate an SQL code to find out Elon Musk's tweets from 2019.
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.