GENERATIVE-AI-LEADER Question #32: Real Exam Question with Answer & Explanation

The correct answer is D: Output length. The objective is to make the generated summaries concise--that is, to control their length. In the configuration of a generative AI model, particularly a large language model (LLM), the parameter used to directly control the maximum size of the response is the Output Length param

Generative AI Model Configuration

Question

A team is using a generative AI model to automatically generate short summaries of customer feedback. They need to ensure that these summaries are concise and easy to digest. What model setting should they adjust?

Options

ATop-p (nucleus sampling)
BSafety settings
CTemperature
DOutput length

Explanation

The objective is to make the generated summaries concise--that is, to control their length. In the configuration of a generative AI model, particularly a large language model (LLM), the parameter used to directly control the maximum size of the response is the Output Length parameter (often referred to as max_output_tokens or max_tokens). By setting a low limit on this parameter, the team can ensure that the model is forced to terminate its response once that limit is reached, resulting in a shorter, more concise summary that is "easy to digest," as requested.

Topics

#Generative AI#Model Parameters#Output Control#Text Summarization

Community Discussion

No community discussion yet for this question.

Full GENERATIVE-AI-LEADER Practice Browse All GENERATIVE-AI-LEADER Questions