AI-102 Question 472
Select 3You are tasked with optimizing a generative AI solution built on Azure OpenAI Service for an e-commerce platform. The AI generates product descriptions in real-time, but you notice that it frequently outputs irrelevant or overly verbose text. What steps should you take to improve the quality and relevance of the generated content?
- A
Fine-tune the OpenAI model with a dataset of high-quality, concise product descriptions.
- B
Adjust the temperature parameter to a lower value during inference.
- C
Increase the maximum token length to ensure longer outputs.
- D
Implement content filtering to remove inappropriate or off-topic responses.
- E
Change the deployment region of the Azure OpenAI Service.
Show answer and explanation
Correct answers: A, B, D
Explanation
To optimize the generative AI for producing concise and relevant product descriptions, you should fine-tune the model with domain-specific data, adjust the temperature parameter to control randomness, and implement content filtering to ensure the output meets quality standards. Increasing the maximum token length or changing the deployment region would not address the issues of verbosity or irrelevance.
- A. Correct.
Fine-tuning the model with a high-quality dataset ensures the AI learns to generate more relevant and concise responses tailored to the e-commerce domain.
- B. Correct.
Lowering the temperature parameter reduces randomness in the output, making it more focused and deterministic, which is ideal for generating concise product descriptions.
- C. Incorrect.
Increasing the maximum token length would likely exacerbate the verbosity issue, leading to longer outputs that may not be relevant.
- D. Correct.
Content filtering helps remove inappropriate or irrelevant responses, ensuring the output aligns with the desired quality and relevance standards.
- E. Incorrect.
Changing the deployment region does not impact the quality of the AI's outputs and is unrelated to optimizing generative AI.