Study Guide

An employee uses a very specific prompt to draft an email using generative Al. However, instead of copying the draft, the employee closes the application. The employee then uses the same prompt to generate the email again but gets a different result.

Fdaytalk Homework Help: Question and Answer: An employee uses a very specific prompt to draft an email using generative Al. However, instead of copying the draft, the employee closes the application. The employee then uses the same prompt to generate the email again but gets a different result. What is the reason for the difference in results?

An employee uses a very specific prompt to draft an email using generative Al. However, instead of copying the draft, the employee closes the application. The employee then uses the same prompt to generate the email again but gets a different result.

a) Gen Al is non-deterministic.
b) Gen Al is known to introduce bias.
c) Gen Al creates hallucinations.
d) Gen Al auto-corrects inputs.
e) I don’t know this yet.

Answer

First, let’s understand what the question is asking:

  • An employee uses the same prompt twice with a generative AI and results were different each time. We need to identify the reason for this difference

To determine the reason for the difference in results when the employee uses the same prompt to generate the email again, let’s analyze each option.

Given Options: Step by Step Answering

a) Gen Al is non-deterministic.

  • Generative AI (Gen Al) often uses probabilistic models to generate text. This means that, even with the same prompt, the model can produce different outputs each time it is run due to the inherent randomness in the generation process.

b) Gen Al is known to introduce bias.

  • Bias in generative AI usually refers to the presence of systematic and unfair biases in the generated content, reflecting biases present in the training data. While this can be true, it doesn’t explain why the same prompt would give different results

c) Gen Al creates hallucinations.

  • Hallucinations in generative AI refer to the model generating content that is factually incorrect or nonsensical. While this can affect the content quality, it does not directly explain the difference in results for the same prompt.

d) Gen Al auto-corrects inputs.

  • Auto-correction refers to the adjustment or correction of the input text before processing. This is related to input handling, not the variability (differences) in output given the same prompt.

e) I don’t know this yet

  • We’ll consider this if none of the other options seem correct.

Conclusion

Based on the above analysis, the correct answer is:

a) Gen Al is non-deterministic

This property of generative AI models, often called “stochastic behavior,” means that even with the same input (prompt), the model can produce different outputs each time it runs. This is due to the probabilistic nature of the algorithms used in these models.

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