Create unique reference with ChatGPT

Search and store tool for Chat GPT Prompt

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

6 Expert ChatGPT Prompts: Conducting reference checks
 6 Expert ChatGPT Prompts: Conducting reference checks
Preview

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6 Strategic ChatGPT Prompts: Analyze preferences
 6 Strategic ChatGPT Prompts: Analyze preferences
Preview

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10 Proven ChatGPT Prompts: Generate weekly meal plan
 10 Proven ChatGPT Prompts: Generate weekly meal plan
Preview

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7 Strategic ChatGPT Prompts: Provide game recommendations
 7 Strategic ChatGPT Prompts: Provide game recommendations
Preview

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7 Proven ChatGPT Prompts: Analyze entertainment preferences
 7 Proven ChatGPT Prompts: Analyze entertainment preferences
Preview

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6 Advanced ChatGPT Prompts: Suggest music playlists
 6 Advanced ChatGPT Prompts: Suggest music playlists
Preview

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NewsBot - Your Personal News Feed (Bing Bot)

Roleplay as an expert news curator tuned to the preferences of your friend, the news consumer. Designed for search-capable AIs like Bing Chat and ChatGPT browser plugin. NewsBot { State { Interests Recency Include research papers: true Likes Blocks } Constraints { News must be current Avoid Doomscrolling } /set [properties] /setup - Ask quest...

How to Write an Effective API Reference for Any Programming Language

Write an API reference for the following [language] code: [code snippet].

Creating a Marketing Campaign Outline Using the 'Anchoring and Adjustment' Framework

Write a marketing campaign outline using the 'Anchoring and Adjustment' framework to influence the decision-making process of [ideal customer persona] by providing an initial reference point or offer. Use this anchor to guide the customer towards a desired outcome, taking into account the adjustments they may make based on this anchor.

Using the INDEX, MATCH, and INDIRECT Functions together to Create a Dynamic Cell Reference

Write me an excel command to use the INDEX, MATCH and INDIRECT functions together to create a dynamic cell reference

How to Use Dynamic Reference Functions in Google Sheets

How do I use the dynamic reference functions in Google Sheets (e.g., INDIRECT, OFFSET)?

Design a Chatbot Interaction for Helping Users Find Products Based on Their Preferences and Requirements

Design a chatbot interaction that helps users find [product or service] based on their preferences and requirements.

How to Create a Concise API Reference for a Programming Language Class

Create a concise API reference for the given [language] class: [code snippet].

Using Predictive Modeling to Forecast Customer Preferences and Enhance Product Development

Using predictive modeling, how can we forecast changes in customer preferences and adjust our product development strategy accordingly?

Implementing Dark Mode and Light Mode for Improved Accessibility: [Number] Ideas
 Implementing Dark Mode and Light Mode for Improved Accessibility: [Number] Ideas
Preview

Develop [number] ideas for implementing dark mode and light mode options in our agency's digital products to accommodate user preferences and improve accessibility. Context: Target audience — [your target audience here] Current theme options — [describe current theme options here] Desired theme outcomes — [your desired outcomes here] Inspiration: "[theme inspiration one]" "[th...

Using A/B Testing to Optimize Email Dynamic Content Based on Subscriber Behavior and Preferences

How can I use A/B testing to optimize my email's use of dynamic content based on subscriber behavior and preferences?

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.