Learn what to do if less than 60% of the AI response is accurate or usable, and how to review and edit the AI response before sharing it with others.
Table of Contents
Question
What should you do if less than 60% of the AI response is accurate or usable?
A. Always fact-check sources
B. Ask for links to studies and research in your prompt
C. Don’t share the first draft!
D. Start from scratch with a new prompt
Answer
D. Start from scratch with a new prompt
Explanation
The best answer to the question is option C. Don’t share the first draft!
Large language models (LLMs) are powerful tools that can generate natural language texts for various purposes, such as writing, rewriting, improving, or optimizing content. However, LLMs are not perfect and they can sometimes produce inaccurate, irrelevant, or inappropriate responses. This can happen due to various reasons, such as incomplete or biased datasets, source-reference divergence, overfitting and lack of novelty, or guesswork from vague or insufficiently detailed prompts.
Therefore, it is important to always review and edit the AI response before sharing it with others. This can help to ensure that the response is accurate, relevant, and appropriate for the intended audience and purpose. It can also help to avoid potential ethical, legal, or social issues that may arise from sharing inaccurate or misleading information.
Option A is not the best answer because fact-checking sources is not enough to ensure the quality of the AI response. Fact-checking sources can help to verify the accuracy of the information contained in the response, but it does not address other aspects of quality, such as relevance, appropriateness, coherence, clarity, and style. Moreover, fact-checking sources can be time-consuming and challenging, especially if the sources are not easily accessible or reliable.
Option B is not the best answer because asking for links to studies and research in your prompt is not a guarantee that the AI response will be accurate or usable. Asking for links to studies and research can help to provide some evidence or support for the claims or arguments made in the response, but it does not ensure that the response is relevant, appropriate, coherent, clear, and stylish. Furthermore, asking for links to studies and research can limit the creativity and diversity of the AI response, as it may constrain the LLM to only use certain sources or types of sources.
Option D is not the best answer because starting from scratch with a new prompt is not a practical or efficient way to deal with an inaccurate or unusable AI response. Starting from scratch with a new prompt can help to generate a different AI response, but it does not guarantee that the new response will be better than the previous one. It may also result in losing some valuable or useful information or insights that were contained in the previous response. Additionally, starting from scratch with a new prompt can be wasteful and frustrating, as it may require repeating the same or similar steps or processes.
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