【ChatGPTビジネス活用】これだけであなたの仕事量は半減する？誰でも「プロンプト達人」になれる７つのポイントとは（AI専門家・野口竜司）【NewSchool】
TLDRThe video script introduces the '7R' method, a structured approach to prompt construction and communication developed by Noguchi. It covers defining requests, roles, and rules, and includes examples of its application in professional scenarios like AI role announcements and coaching sessions, aiming to improve clarity and effectiveness in communication.
Takeaways
- 📝 The script introduces a special method called the '7R Prompt' designed to enhance communication and problem-solving skills by structuring and clarifying requests and responses.
- 🎯 The '7R Prompt' consists of seven elements: Request, Role, Regulation, Review, Reference, Scenario, and Random Scenario. These elements are used to create a comprehensive framework for addressing tasks and inquiries.
- 👥 The method emphasizes the importance of defining roles and responsibilities, setting clear rules, and providing feedback for continuous improvement.
- 🔍 It encourages breaking down complex issues into smaller, manageable steps (Step by Step), which can make problem-solving more efficient, especially in fields like mathematics.
- 💬 The script highlights the value of providing examples and references to ensure clarity and avoid misunderstandings, which is crucial for effective communication.
- 📈 The '7R Prompt' can be applied in various scenarios, from customer service to coaching sessions, and can significantly improve the quality of responses and interactions.
- 🔧 The method also includes a self-correcting mechanism, where the process can be repeated with refined prompts based on feedback and additional information.
- 🎓 The script provides a practical example of how to use the '7R Prompt' in a business scenario, demonstrating its applicability and potential to enhance professional interactions.
- 🤖 The concept of an 'Agent' is introduced, suggesting that with the right prompts, AI can act autonomously and assist in progressing tasks without constant supervision.
- 📚 The script suggests that the '7R Prompt' can be a valuable tool for anyone looking to improve their communication and task management skills, whether in personal or professional settings.
- 🌐 The '7R Prompt' method can be adapted and expanded upon, making it a flexible framework that can grow with the user's needs and the complexity of the tasks at hand.
Q & A
What is the main concept discussed in the transcript?
-The main concept is the '7R' prompt method, which is a structured approach to improve communication and task execution by clearly defining roles, requests, and scenarios.
What does '7R' stand for in the context of the transcript?
-The '7R' stands for a method that involves seven 'R's, which are used to create a comprehensive and clear prompt that can help one become an expert in communication and task management.
How does the '7R' method help in structuring a prompt?
-The '7R' method helps by guiding the user to define the request, role, format, rules, evaluation, reference knowledge, and execution scenario, resulting in a well-structured and clear prompt.
What is the significance of defining roles in the '7R' method?
-Defining roles is crucial as it clarifies who is responsible for what, ensuring that everyone involved understands their part in the communication or task execution process.
Can you provide an example of how the '7R' method is applied?
-An example is given where a high school teacher is defined as the role, and the request is to prepare three questions and answers for a press release. The format is specified, and rules are set for the evaluation and refinement process.
What is the purpose of the evaluation and refinement (R&R) step in the '7R' method?
-The evaluation and refinement step is used to review the prompt and make necessary improvements, ensuring that the final output is of high quality and meets the set standards.
How does providing reference knowledge or examples benefit the '7R' method?
-Providing reference knowledge or examples helps to ground the participants in the context and provides a basis for comparison or inspiration, leading to more accurate and effective communication and task execution.
What is the final 'R' in the '7R' method, and why is it special?
-The final 'R' is related to the concept of 'agentization,' where the goal is to create a self-motivated and autonomous agent that can execute tasks without needing explicit instructions for every step.
How does the '7R' method ensure that tasks are executed without遗漏 (omissions)?
-By following the structured '7R' framework, tasks are broken down into clear steps, with each 'R' addressing a specific aspect of the task. This comprehensive approach minimizes the chance of遗漏.
What is the significance of the '乱シナリオ' (random scenario) in the '7R' method?
-The '乱シナリオ' is a technique to prepare for unexpected situations by creating scenarios that are not directly related to the main task. This helps to ensure that the agent or individual can handle a variety of situations effectively.
Outlines
📝 Introduction to the 7R Prompting Framework
The paragraph introduces the concept of the 7R prompting framework, a method designed to enhance the user's ability to interact effectively with AI. The speaker presents a structured approach to create prompts, emphasizing the importance of clarity, context, and step-by-step instructions. The framework is intended to make AI interactions more professional and efficient, with the promise of becoming an expert by following the 7Rs. The speaker also discusses the importance of feedback and providing references or examples to improve the AI's responses.
🔍 Application of the 7R Framework in Scenarios
This paragraph delves into the practical application of the 7R framework by providing a detailed example. The speaker uses the context of a high school staff member's role and creates a scenario where the AI is prompted to generate a press release. The example illustrates how to define roles, set rules, and provide feedback for improvement. The speaker also explains how to refine the AI's responses by adding more details and rules, such as incorporating questions about competitors. The goal is to create a clear and comprehensive guide for the AI to follow, ensuring that the AI's output is accurate and relevant.
🤖 Agentification and Advanced Prompting Techniques
The speaker discusses the concept of 'agentification,' which involves training the AI to act more autonomously, like an agent. This involves the AI taking the initiative to ask questions and progress tasks without constant prompting. The speaker shares an example of creating a coaching scenario using the 7R framework, where the AI is prompted to engage in a conversation and provide coaching advice. The example highlights the use of positive and active language, as well as the importance of summarizing key points at the end of the interaction. The speaker also touches on the potential of using such techniques in various business applications, such as customer service and guidance.
🎨 Crafting Engaging and Dynamic AI Interactions
In this paragraph, the speaker emphasizes the creative aspect of crafting AI interactions using the 7R framework. The speaker provides examples of how to create engaging scenarios for the AI to respond to, such as a consumer complaining about a washing machine or discussing the effects of a skincare cream. The speaker also discusses the importance of adhering to rules and providing the AI with the necessary knowledge to respond accurately. The goal is to create dynamic and interactive AI responses that can adapt to various situations and provide valuable insights.
Mindmap
Keywords
💡Prompt Engineering
💡Structured Prompts
💡7R Prompt
💡Role Definition
💡Feedback
💡Scenario
💡Reference Knowledge
💡Structured Outputs
💡Agentification
💡Self-Initiated Interaction
💡Prompt Iteration
Highlights
The introduction of the 7R Prompt method, a framework designed to enhance communication and problem-solving skills.
The 7R Prompt method can be applied throughout one's life, emphasizing its long-term utility and versatility.
The method involves structuring prompts with clarity and specificity, improving the quality of discussions and decision-making.
The importance of breaking down complex tasks into step-by-step processes, especially in fields like mathematics.
The inclusion of fairness and feedback mechanisms within the 7R Prompt framework to ensure balanced and constructive interactions.
The concept of providing references or examples to support the prompts, enhancing understanding and context.
The use of the 7R Prompt method in various scenarios, such as press releases and role-playing exercises.
The detailed explanation of each R in the 7R Prompt method, from defining roles and requests to refining and evaluating responses.
The application of the 7R Prompt method in a business setting, demonstrating its practicality and adaptability.
The emphasis on the agent's ability to autonomously follow the prompts and scenarios, showcasing the potential for AI to take initiative.
The provision of a special R for handling exceptional scenarios, highlighting the method's comprehensiveness.
The example of creating a coaching prompt using the 7R method, illustrating its use in personal development and support.
The discussion on the legal implications of certain product claims, such as weight loss creams, within the 7R framework.
The demonstration of how the 7R Prompt method can be used to handle customer complaints and improve service quality.
The potential of the 7R Prompt method to transform AI into a more autonomous agent, capable of progressing tasks without constant input.
The encouragement for users to create their own prompts and scenarios using the 7R method, fostering creativity and independence.
The mention of GPT's evolving capabilities, suggesting that future versions may better utilize the 7R Prompt method for various applications.