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Iterative Prompting: Trash In-Trash Out
Iterative Prompting: Trash In-Trash Out
Chatbots are designed to produce an output based on the context of the input. If the initial prompt is vague, the results will be broad. If the prompt is specific and clear, users have more control over output.
- Start with a Basic Prompt: Begin by providing a general or broad prompt to the chatbot.
- Assess the Output: Review the chatbot's response to gauge its relevance and specificity.
- Refine the Prompt: Based on the initial response, refine your prompt to be more specific and clear.
- Repeat if Necessary: Continue this process of refinement and interaction until the desired level of specificity and relevance in the chatbot's response is achieved.
- Final Output: Once satisfied with the response, utilize the final output for your purpose and continue work.
Teacher Prompt Iteration
Click below for examples of 'prompt iteration'.Teacher Prompt Iteration
Student Prompt Iteration
Click below for examples of 'prompt iteration'.Student Prompt Iteration
*It is best practice to re-prompt and remind the chatbot of the task, objective, and context with loaded tasks or long conversations. Chatbots are more likely to ‘hallucinate’ if not given clear, direct context and instructions.
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