自动结构化框架-structured prompt creation tool
AI-Powered Structured Prompt Creation
这是小七姐编写的自动生成初步结构化提示词框架的提示词，尽可能清楚的描述你想要一个做什么用的prompt，它会自动帮你完成结构化。
逻辑检测的提示词
辅助阅读论文的提示词
用SCQA原理优化表达的提示词
我想认识作者！
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Introduction to 自动结构化框架
自动结构化框架 is a tool designed to assist users in generating and refining prompts for AI-based models like ChatGPT. It is intended to automate the process of creating structured prompts by leveraging predefined frameworks and guidelines. The primary purpose of this framework is to enhance the effectiveness and consistency of AI interactions by providing a clear structure that can be customized according to specific needs. For example, it can generate prompts that simulate expert discussions or guide the AI to adopt a specific tone or style. In practice, this might involve creating a prompt that helps users draft a business plan by generating roles such as financial analyst, marketing expert, and operations manager, each offering advice based on their expertise.
Main Functions of 自动结构化框架
Automated Prompt Generation
ExampleA user needing a prompt for market analysis can input basic details, and 自动结构化框架 will generate a structured prompt that guides the AI to adopt the role of a market analyst, asking relevant questions and offering insights.
ScenarioThis function is particularly useful for users who are new to prompt engineering and need guidance in creating effective prompts that yield meaningful AI responses.
Role and Scenario Definition
ExampleFor instance, a user might need help drafting a project management plan. The framework can create a prompt where the AI assumes roles such as project manager, financial planner, and HR manager, each providing input based on the user's project details.
ScenarioIdeal for complex tasks requiring multi-faceted perspectives, where the user benefits from AI-generated expert advice across various domains.
Structured Workflow Design
ExampleA researcher looking to structure a literature review might use 自动结构化框架 to generate a prompt that organizes the workflow into stages: initial reading, synthesis of findings, and drafting of conclusions.
ScenarioThis function is essential for users who need a clear and organized approach to managing complex tasks or projects, ensuring that all steps are addressed methodically.
Ideal Users of 自动结构化框架
Researchers and Academics
Researchers benefit from the framework's ability to structure their workflow, whether for literature reviews, data analysis, or drafting research proposals. The structured approach ensures comprehensive coverage of all necessary elements in their research.
Business Professionals
Business professionals, such as project managers and strategists, use the framework to generate prompts that help in decision-making processes, strategic planning, and risk analysis. The framework supports them by providing structured prompts that guide AI in offering well-rounded business advice.
How to Use 自动结构化框架
1
Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
2
Familiarize yourself with the framework by reading the provided documentation. Ensure you understand the structure and components.
3
Choose a task or goal for which you want to create a structured prompt. Clearly define the desired outcome.
4
Use the framework to outline your prompt, ensuring all necessary elements like role, background, goals, constraints, and workflows are included.
5
Iterate and refine your prompt based on the initial output and feedback. Adjust as needed to achieve the desired response.
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Q&A about 自动结构化框架
What is 自动结构化框架?
自动结构化框架 is a tool that helps users create well-structured prompts for AI models. It guides users in defining roles, goals, and workflows, ensuring the AI's output is aligned with the desired task.
How does 自动结构化框架 improve AI interactions?
It enhances AI interactions by providing a clear and organized structure for prompts, which helps the AI understand the context and goals better, leading to more accurate and relevant responses.
Can I use 自动结构化框架 for any AI model?
Yes, 自动结构化框架 is versatile and can be adapted to work with various AI models, including ChatGPT. It helps streamline the prompt creation process for different use cases.
What are the key components of 自动结构化框架?
The key components include role definition, background information, goals, constraints, and workflows. These elements help structure the prompt effectively for optimal AI output.
Is prior experience needed to use 自动结构化框架?
No prior experience is needed. The framework is designed to be user-friendly, with detailed guidelines that make it accessible even to beginners in prompt engineering.