AI-102 Question 425
Select 4You are building a customer support chatbot using Azure OpenAI Service to generate natural language responses to user queries. The chatbot must provide relevant and accurate responses while adhering to the company's policy guidelines. Which steps should you implement to ensure the solution meets the requirements?
- A
Use the Azure OpenAI Service to fine-tune a pre-trained GPT model with specific company policy data.
- B
Enable content filtering in the Azure OpenAI Service to block inappropriate or policy-violating responses.
- C
Directly deploy the default GPT model without modifications for faster implementation.
- D
Use the Temperature parameter to control the randomness of generated responses.
- E
Log all user interactions and generated responses for auditing and continuous improvement.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
To design a generative AI chatbot that adheres to company policy and delivers accurate responses, it is essential to fine-tune the model with relevant data, enable content filtering, and configure randomness using the Temperature parameter. Additionally, logging interactions ensures compliance, auditing, and a mechanism for continuous improvement. Deploying the default model without adjustments could lead to policy violations or irrelevant responses.
- A. Correct.
Fine-tuning the GPT model with specific company policy data ensures the chatbot generates responses aligned with organizational guidelines.
- B. Correct.
Content filtering helps block inappropriate or policy-violating responses, ensuring compliance with company standards.
- C. Incorrect.
Deploying the default GPT model without modifications might not meet the company-specific policy requirements and could lead to inaccurate or inappropriate responses.
- D. Correct.
The Temperature parameter controls the randomness of generated responses, allowing you to balance creativity and accuracy.
- E. Correct.
Logging interactions and responses is important for auditing, monitoring, and improving the chatbot's performance over time.