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Being towards death

Heed not to the tree-rustling and leaf-lashing rain, Why not stroll along, whistle and sing under its rein. Lighter and better suited than horses are straw sandals and a bamboo staff, Who's afraid? A palm-leaf plaited cape provides enough to misty weather in life sustain. A thorny spring breeze sobers up the spirit, I feel a slight chill, The setting sun over the mountain offers greetings still. Looking back over the bleak passage survived, The return in time Shall not be affected by windswept rain or shine.
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A simple and effective AI thinking framework.

In today's digital world, artificial intelligence has become an indispensable part of our daily lives. From smart speakers to chatbots, AI continuously provides us with information, entertainment, and solutions. Especially advanced chatbots like ChatGPT, they offer users rich answers and solutions. But how can we interact more effectively with these chatbots to get the answers we need?

The answer is: using the GUIDE prompt framework.

What is the GUIDE prompt framework?
GUIDE is a simple yet effective prompt framework that helps users ask questions more clearly and accurately, resulting in high-quality answers. It consists of the following components:
G: Goal - the purpose or answer you want to achieve.
U: User - considering your own background, knowledge, and needs.
I: Instructions - providing specific steps or methods for the chatbot to follow.
D: Detail - providing detailed information or background related to the question.
E: Examples - using examples or scenarios to describe your question.

ChatGPT is a highly advanced chatbot, but the quality of its answers largely depends on the quality of the questions asked. A clear and detailed question is more likely to receive precise and valuable answers. GUIDE provides a systematic way to help users construct high-quality questions.

Interacting with ChatGPT using the GUIDE prompt framework:
G: Goal
First, set your learning goal. What aspects of data analysis do you want to understand? Is it foundational knowledge, specific skills, or advanced strategies?
For example, you may want to know how to start learning data analysis. So, your goal is: "Understand the basic steps of data analysis."

U: User
Clarify your background. Are you a beginner in the field of data analysis, a beginner with some relevant experience, or an intermediate learner looking to deepen specific skills? Let ChatGPT understand your starting point.
For example, you can ask: "As a beginner with a background in marketing, I want to start learning data analysis."

I: Instructions
Guide ChatGPT on how to answer. Do you want a short checklist, a detailed beginner's guide, or specific tutorial recommendations?
For example: "Please list the five basic steps of data analysis for me and provide a brief explanation for each step."

D: Detail
Provide specific information related to your learning goal. It could be specific problems you encounter in the workplace or your interest in a particular topic.
For example: "I often need to analyze customer data in my work, but I find myself lacking effective data processing and analysis methods."

E: Examples
Make your question clearer with specific examples. This not only helps ChatGPT better understand your needs but also allows you to clarify your learning direction.
For example: "For instance, I received a dataset containing customer age, purchase history, and geographic location. How can I analyze this data to understand our target market?"

By asking questions in this way, you can not only obtain more accurate and practical answers but also learn and apply data analysis skills more effectively, thereby maximizing their value in the workplace.

Application of GUIDE in practice:
Let's take a look at how to use the GUIDE framework to ask ChatGPT a question through a practical example:
Original question: "How is data analysis performed?" This is a concise question that can provide the questioner with a quick and basic understanding of data analysis. However, this question also has some flaws:
Broadness: Data analysis can cover many fields, such as financial data analysis, market research, bioinformatics, network analysis, etc. So, "How is data analysis performed?" can have many different answers.
Depth: Such a question may only receive a brief overview rather than in-depth details or examples.
Lack of context: No background information is provided, so the answer may not fully meet specific needs. Using the GUIDE framework to improve the question:
G: Goal: "I want to understand how customer data analysis is performed in marketing." This clarifies the purpose: to understand how data analysis is performed in marketing.
U: User: "As a marketing beginner..." This informs the answerer that you are a beginner, so the answer will be adjusted to a level suitable for beginners.
I: Instructions: "Please list five basic steps of data analysis and provide a brief explanation for each step." This specifies the form and depth of the answer you desire.
D: Detail and E: Examples: "For example, I received a dataset containing customer age, purchase history, and geographic location. How can I analyze this data to target the market?" This provides specific background and practical application scenarios you want to understand.

This improved question not only specifies your needs but also provides detailed background information and the desired form of the answer, making it more likely for ChatGPT to provide accurate, detailed, and practical answers.

In summary, when interacting with chatbots like ChatGPT, how you ask questions often determines whether you can obtain valuable answers. The GUIDE prompt framework provides a systematic approach to help you construct high-quality questions and obtain high-quality answers. So, next time you interact with ChatGPT, why not try GUIDE and see how it helps you open the door to efficient communication.

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