Create unique design pattern with ChatGPT

Search and store tool for Chat GPT Prompt

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

Enhancing Code Architecture and Functionality with Design Patterns

Propose a combination of design patterns that can be used to enhance the given [language] code's architecture and functionality: [code snippet].

design patterns code architecture functionality

Evaluating the Effectiveness of Design Patterns in Code: A Critical Analysis

Evaluate the effectiveness of the [design pattern] in addressing the specific requirements or constraints of the given [language] code: [code snippet].

design patterns programming code

Design Pattern to Optimize [Language] Code Performance for [Specific Task]: [Code Snippet]

Suggest a design pattern to optimize the performance of the given [language] code handling [specific task or operation]: [code snippet].

design pattern code performance optimization

Pros and Cons of Two Design Patterns in [Language] Code: A Comparison

Compare the pros and cons of using [design pattern 1] vs [design pattern 2] in the context of the given [language] code: [code snippet].

design patterns code comparison

Applying Design Patterns in Code: Solving Specific Issues with [Language]

Explain how the [design pattern] can be applied in the given [language] code to address [specific issue or challenge]: [code snippet].

design patterns code specific issues

Suggesting Alternative Design Patterns for [Language] Code - Enhance Code Performance and Offer Better Benefits

Suggest an alternative design pattern for the given [language] code that may provide additional benefits: [code snippet].

design pattern code performance benefits

Identifying Opportunities for Applying Design Patterns on Codebase: Tips and Strategies

Identify opportunities to apply the [design pattern] in the following [language] codebase: [repository URL or codebase description].

design pattern codebase programming

Choosing Design Patterns for Language Code: Improving Structure with [code snippet]

Based on the given [language] code, recommend a suitable design pattern to improve its structure: [code snippet].

design patterns language code programming

Opinion on Implementing Design Pattern in Language for Different Scenarios

Provide examples of implementing the [design pattern] in [language] for the following scenarios: [scenario list].

design pattern language scenarios

Identifying Opportunities for Design Pattern in Code: Tips and Tricks

Identify opportunities to apply [design pattern] in the given [language] code: [code snippet].

design pattern code snippet programming

Implementing [Design Pattern] in [Language] for [Use Case]: A Code Snippet

Based on the [design pattern], create a code snippet in [language] that demonstrates its implementation for a [use case].

design pattern code snippet implementation

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.