A scientist is using a generative Al model to create a summary of a research paper. The scientist then enters the prompt “expand more on point number 3” and gets a more detailed response. How is Gen Al able to do this?

Homework Help: Questions and Answers: A scientist is using a generative Al model to create a summary of a research paper. The scientist then enters the prompt “expand more on point number 3” and gets a more detailed response. How is Gen Al able to do this?

A scientist is using a generative Al model to create a summary of a research paper

a) It permanently stores the data used to train the model.
b) It returns pre-scripted responses written by experts in the field.
c) It can track the context of an ongoing conversation.
d) It uses live agents to provide responses to the user’s prompt.
e) I don’t know this yet.

Answer

First, let’s understand what generative AI models are designed to do:

  • They are trained on vast amounts of data to understand patterns and generate human-like text.
  • They don’t simply retrieve pre-written responses but generate new text based on the input.

Now, let’s think about the scenario described:

  • The scientist first gets a summary of a research paper.
  • Then, they ask to expand on a specific point (point number 3).
  • The AI provides a more detailed response about that point.

To determine how a generative AI model is able to expand on a specific point when prompted, let’s evaluate each option:

Given Options: Step by Step Answering

a) It permanently stores the data used to train the model.

  • This is not how generative AI models typically function. While models are trained on large datasets, they do not store this data permanently. Instead, they learn patterns and relationships during training, which allows them to generate responses based on the learned information. They do not recall specific data from the training set.
  • This wouldn’t explain how it can expand on a specific point from the current conversation.

b) It returns pre-scripted responses written by experts in the field.

  • Generative AI models create responses dynamically based on the input prompt. They do not rely on pre-scripted responses but rather generate text based on patterns learned during training. This allows them to provide varied and contextually appropriate responses to different prompts.

c) It can track the context of an ongoing conversation.

  • This explains how the AI knows what “point number 3” refers to. Generative AI models, especially those designed for conversational purposes, maintain context over the course of an interaction. It allows the AI to understand what it previously said and expand on it.

d) It uses live agents to provide responses to the user’s prompt.

  • This option is incorrect for a generative AI model. Generative AI models operate independently of human intervention once they are deployed and do not rely on live agents to generate responses.

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:

c) It can track the context of an ongoing conversation

This ability to maintain context allows the AI to understand what it has previously said, what the user is referring to, and generate a more detailed response about a specific point from its earlier output.

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