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title | Here's an example of an instructional style prompt: |
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Instructional Prompt: "Write a step-by-step guide on how to bake chocolate chip cookies." |
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This prompt instructs the user to create a detailed guide that walks through the process of baking chocolate chip cookies. The instructional style prompt typically includes clear directives, specific tasks, and may even provide additional guidelines or constraints as needed. |
By using this prompt, the AI model can generate a comprehensive and structured guide that outlines each step involved. |
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title | Here’s an example of a good and effective question style prompt: |
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Efficient Question Prompt: "What are the top three benefits of using cloud computing for small businesses?" |
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This prompt is specific, targeted, and efficient in that it asks the AI to identify the top three benefits of cloud computing for small businesses. The prompt includes clear directives and constraints, which helps to streamline the response generation process and produce a more focused output. |
This type of prompt is best because it encourages AI to provide a concise and informative response that addresses the specific needs of small businesses. The prompt also provides a clear structure for the response, which helps to ensure that the generated output is relevant and aligned with the user's expectations. |
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title | Here's an example of a completion type of prompt: |
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Completion Prompt: "The key to a successful presentation is __________." |
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This prompt provides a partial sentence and prompts the AI to complete it with its own input. Completion prompts are effective because they encourage AI to engage in creative thinking and generate their own ideas or insights. This format works best because it allows AI to express a unique perspective and knowledge on a given topic. |
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Dialog Prompts
Dialog prompts allow users to engage in a back-and-forth interaction with the AI model, simulating a conversation between two or more participants. The core concept involves guiding the AI's responses in a natural conversation by providing alternating user inputs and AI responses. This enables interactive and dynamic interactions, as users can incorporate the AI's previous responses into subsequent prompts, leading to more engaging and contextually relevant conversations.
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title | Here's an example of a dialog type of prompt: |
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User Prompt: "What is the weather like today?" AI Response: “The weather today is [output]. Is there anything else you would like to know?" |
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In a dialog prompt, the user engages in a conversation with the AI system, simulating a back-and-forth exchange. The prompt consists of an initial user query followed by an AI response, creating a conversational flow. This format works best because it mirrors natural human conversation and fosters a more interactive and engaging user experience. Dialog prompts allow users to ask follow-up questions, seek clarifications, or explore related topics, creating a dynamic interaction with the AI system. |
To create effective dialog prompts, it is important to provide clear and specific user inputs that set the desired context and guide the AI's understanding. Users can also use system-level instructions to guide the behavior of the AI model throughout the conversation. |
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title | Here's an example of a creative type of prompt: |
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Creative Prompt: "Write a short story about a mysterious door that leads to a magical realm." |
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This prompt encourages AI to engage in creative thinking and to create a unique and imaginative story based on the given scenario. This format works best because it allows AI to tap into creativity and imagination, leading to the generation of diverse and captivating stories. By providing a specific theme or scenario, the prompt sets the stage for AI to create narratives, characters, and plotlines. |
Using this prompt, the AI model can generate a wide range of responses, each representing a different story concept or interpretation. |