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There are several types of prompts that a user can enter for the Pricefx Generative AI chat bot. These prompts are designed to provide instructions or input to the GenAI model and guide its response. Here are some common types of prompts:

Instructional Prompts

These prompts explicitly provide instructions to the AI model about what the user wants it to do or generate. For example, a user can ask the AI to write a poem, solve a math problem, or generate a piece of code.

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The resulting output from the AI model could be a detailed guide that includes ingredients, measurements, mixing instructions, baking times, and other relevant information necessary for successfully baking delicious chocolate chip cookies.

Question Prompts

Users can ask questions to the AI model by formulating their prompts as queries. The AI model will then attempt to provide an answer or response based on the information it has been trained on.

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Using this prompt, the AI model can generate a response that highlights the top three benefits of cloud computing for small businesses, such as cost savings, scalability, and increased security. This type of prompt is particularly useful in business settings, where time and resources are often limited, and efficiency is essential for success.

Completion Prompts

With completion prompts, users can provide a partial sentence or phrase and ask the AI model to complete it. The model will generate a response that is coherent with the given context. The core concepts of completion prompts for AI involve providing a partial sentence or phrase and instructing the AI model to generate a coherent and relevant completion. Completion prompts are used to guide the AI in generating the next part of a text based on the given context. By providing an incomplete sentence or phrase, the AI can fill in the missing information to create a more comprehensive response.

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Completion prompts can be used in various scenarios, such as brainstorming sessions, creative writing exercises, or problem-solving activities. They foster user engagement, encourage active participation, and enable the AI model to generate diverse and personalized responses based on the user's input.

Dialog Prompts

Dialogue prompts involve having a conversation with the AI model. Users can engage in a back-and-forth interaction by providing prompts that simulate a dialogue between two or more participants.

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Dialog prompts are particularly useful for applications such as chatbots, virtual assistants, or interactive storytelling. They allow users to have interactive and personalized experiences with AI models, enhancing user engagement and providing tailored responses based on the ongoing conversation.

Creative Prompts

These prompts encourage the AI model to generate creative outputs such as stories, art, or music. Users can provide open-ended prompts that allow the AI to explore its creative capabilities.

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