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Answer: All of the above.
To optimize the generative AI for relevance and conciseness, you should consider a combination of strategies. Increasing the temperature parameter (A) can lead to more diverse responses, but it may not directly control conciseness. Decreasing the maximum token limit (B) can ensure shorter responses, which is closer to the goal of conciseness. Using the stop sequence (C) can help define the end of the response, which can prevent irrelevant continuations. Therefore, the correct approach is to use a combination of these strategies (D).
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In the context of optimizing generative AI, you are tasked with configuring parameters to control the generative behavior of an Azure OpenAI model. Your goal is to generate a response that is both relevant and concise. Which of the following steps should you take to achieve this?
A
Increase the temperature parameter to encourage more diverse responses.
B
Decrease the maximum token limit to ensure shorter responses.
C
Use the stop sequence to define the end of the response.
D
All of the above.