Chat Prompt GPT, Midjourney
Search and store tool for GPT Chat Prompt, Midjourney
Welcome to Chat-Prompt.com, a searchable database and platform for exchanging templates for use with the Chat GPT and other AI models.
A text-based request can instruct the ChatGPT model, a big language model developed by OpenAI, to produce text that resembles human writing. Although it can assist you in producing responses, ChatGPT will be unable to do so if the input is inaccurate or does not properly express your goals. Because of this, Chat-Prompt.com was developed to make it easier for you to store and find intriguing prompts to produce the outcomes you need.
You can find a variety of templates in different sectors and topics in Chat-repository Prompt's to meet your demands. To save time while still doing the task precisely and fast, we want to encourage everyone to develop new templates for the community.
You only need to click the copy button on the templates you want to use as input for the Chat GPT to get started utilizing them. These templates might serve as models for new ones that you design.
We hope that Chat-Prompt.com will be a resource for you to find helpful templates to utilize with ChatGPT.
How to Create a Boilerplate [Language] Project Structure for a [Type of Application]
Create a boilerplate [language] project structure for a [type of application] that includes necessary configuration files and dependencies: [application description].
Evaluating Performance Feedback in Technical Interview for [Language]
Evaluate and provide feedback on my performance during a [language] technical interview, including areas for improvement and strengths.
Conducting a [Language] Technical Interview: Problem-Solving, Coding and Thought Process
Conduct a mock [language] technical interview, including problem-solving, coding, and explanation of thought process.
Common Language Technical Interview Questions and Solutions
Provide examples of common [language] technical interview questions and their solutions.
Tips for Approaching Language Coding Problems during Technical Interviews
Share tips and advice on how to approach and solve [language] coding problems during a technical interview.
Effective [Language] Coding Challenges for Technical Interview Preparation
Suggest [language] coding exercises or challenges to practice for a technical interview.
Identifying Challenges and Solutions for Interoperability among Different Technologies
Identify potential challenges and solutions for interoperability between the following systems or technologies: [system or technology list].
Comparison of API authentication and authorization mechanisms for a [language] project
Compare different API authentication and authorization mechanisms (e.g., OAuth, JWT, API keys) for the given [language] project: [project description].
Improving API Design: Enhancing Usability, Performance, and Security
Suggest improvements to the following API design to enhance its usability, performance, or security: [API description].
Designing an API for Efficient [Type of Application/Service]: Supporting Essential Operations - ChatGPT
Design an API for a [type of application or service] that supports the following operations: [list of operations].
Tips on How to Produce a Clear and Concise Overview of the Architecture and Design of a Project/System in [Language]
Produce a clear and concise overview of the architecture and design of the given [language] project or system: [project description].
Creating an Effective FAQ Section for Your [Language] Project or Tool: Tips and Best Practices
Develop a FAQ section that addresses common questions and issues related to the given [language] project or tool.
How to Create a User Guide for Your Software or Tool: Installation, Configuration, and Basic Usage
Create a user guide for the given [software or tool] that covers installation, configuration, and basic usage.
A Beginner's Guide to Preparing and Submitting a Pull Request for Open-Source Projects
Explain how to prepare and submit a pull request for the given [language] open-source project: [repository URL or project description].
Tips for Successful Contributions to [Language] Open-Source Projects
Recommend best practices for contributing to [language] open-source projects as a new or inexperienced contributor.
Generating Open Issues or Feature Requests Opinion for a Language Specific Open-Source Project
Suggest open issues or feature requests in the following [language] open-source project that match my skill set: [repository URL or project description].
Identifying Open-Source Language Projects for Developers
Identify suitable open-source [language] projects for a developer with [specific skills or interests].
Tips for Organizing & Facilitating Effective Remote Meetings for Language Development Teams
Share tips for organizing and facilitating effective remote meetings for a [language] development team.
Effective Ways to Keep Remote Language Developers Motivated and Engaged During Long-Term Projects
Suggest ways to maintain team morale and motivation among remote [language] developers during a long-term project.
Effective Workflow for Task Management in Remote Language Development Team
Recommend a workflow for managing and prioritizing tasks for a remote [language] development team.
Proposing Strategies for Effective Communication and Coordination for Distributed Team Members on [Language] Project
Propose strategies to improve communication and coordination between distributed team members working on a [language] project.
Best Tools and Practices for [Language] Development Team Remote Collaboration
Suggest tools and best practices for remote collaboration among the members of a [language] development team.
Optimizing [Language] Project Infrastructure with Cloud-Native Technologies
Identify opportunities to optimize the given [language] project's infrastructure and resource usage using cloud-native technologies: [project description].
Comparing Containerization Technologies for Language Project: Pros and Cons
Compare the advantages and disadvantages of different containerization technologies (e.g., Docker, Kubernetes, Podman) for the given [language] project: [project description].
Efficient Build and Deployment Process for [Language] Project: Suggestions for Improvement
Suggest improvements to the given [language] project's build and deployment process to increase efficiency: [project description].
Automating Deployment Strategy for [Language] Application to [Cloud Provider/Environment]
Propose a strategy to automate the deployment of the given [language] application to [cloud provider or environment]: [app description].
Designing a CI/CD Pipeline for Language Project Based on Requirements and Constraints
Design a CI/CD pipeline for the given [language] project based on its requirements and constraints: [project description].
Recommend Tools or Libraries to Improve Accessibility and Inclusivity of Web/Mobile App
Recommend tools or libraries to help improve the accessibility and inclusivity of the given [web/mobile] app: [app URL or description].
Analyze the Accessibility of a Web or Mobile App: Tips to Evaluate Different Devices and Screen Sizes
Analyze the accessibility of the given [web/mobile] app on various devices and screen sizes: [app URL or description].
Tips to make your [web/mobile] app more diverse and inclusive in terms of content, imagery, and language
Suggest ways to make the given [web/mobile] app more inclusive and diverse in terms of content, imagery, and language: [app URL or description].
What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPTs, 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.”
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.