Create unique IP with ChatGPT

Search and store tool for Chat GPT Prompt

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

How to Utilize YouTube's Non-skippable Ads to Increase Views and Followers

How do I use YouTube's "Non-skippable" ads to get more views and followers?

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How to Use YouTube's TrueView In-Stream Ads to Get More Views and Followers

How do I use YouTube's "TrueView In-Stream" ads to get more views and followers?

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Ways to Overcome Procrastination

What are some ways to overcome procrastination?

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Planning a Week's Worth of Dinner for Two Adults

Can you help me plan a week's worth of dinner for two adults

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Create the Perfect Proposal Message with ChatGPT: Sample for Girls

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Give me an example of a proposal message for a girl

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Create a Product Description for a Product, Service, or Company

Write a product description for my [product or service or company]

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Creating Viral TikTok Videos: Tips for Success

What are some tips for creating viral TikTok videos?

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Create an Example Keyword List Targeting Multiple Geographic Locations

Create an example keyword list targeting multiple geographic locations for [TOPIC]

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Using Copywriting to Create Effective Podcast Scripts

How can I use copywriting to create effective podcast scripts?

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Creating Effective Video Scripts with Copywriting Techniques

What are some ways to use copywriting to create effective video scripts?

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Use an "instruction template" method of prompting GPT-3 to generate a Python 3 module using placeholders and notes within a template that contains only a single line of actual Python.

Use this format: ''' <python 3 shebang> <module docstring> <imports> <initialize dotenv> <set key using OPENAI_API_KEY env var> def complete(prompt: str, **openai_kwargs) → str: <one-line docstring; no params> <use default kwargs: model=text-davinci-003,top_p=0.7,max_tokens=512> <note: 'engine' parameter is deprecated> <get completion> <strip whitespace before returning> <as script, d...

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Prompt GPT to reliably generate text and JSON data in a precise format using Python assertions, f‑strings, and variables

assert result["Dua Lipa"]["biography"] == get_bio(name="Dua Lipa") assert result["Lady Gaga"]["biography"] == get_bio(name="Lady Gaga") for name in result: assert set(result[name].keys()) == {"biography", "genres"} assert.json.dumps(result,indent=2)=="""\

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A Reminder to Follow Google's Guidelines for JavaScript Coding Style with the Help of ChatGPT

Rewrite the code below following the Google style guidelines for javascript. {enter code}

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Using the Pareto Principle to Create a Winning Marketing Campaign for Your Ideal Customer

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Please write a marketing campaign outline that leverages the Pareto Principle to identify the most important [product/service features] for [ideal customer persona] and focuses on maximizing the impact of these features. Consider how to prioritize the remaining [20%/80%] of features in a way that adds value to the customer experience.

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Using Google Sheets Scatter Plot to Visualize Data

How do I use the Google Sheets scatter plot feature to visualize data?

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Highlighting Sensitive Data in a Sheet Using Conditional Formatting

How do I use the Conditional formatting feature to highlight sensitive data in a sheet?

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Create a Vision Board: Tips and Inspiration from ChatGPT

How to create a vision board: A vision board can be a powerful tool for setting and achieving goals, and ChatGPT can provide tips and inspiration for creating your vision board.

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Using Storytelling to Connect with Target Audience and Build a Strong Brand

How can we use storytelling to connect with our target audience and build a strong brand?

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Creating a Plan for Office Partnership Negotiation and Agreement

How can I create a plan for office partnership negotiation and agreement?

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Best Practices for Managing Office Travel

What are some best practices for managing office travel?

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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.