Databricks Generative AI Engineer Associate Question 285
Select 4You are deploying a large language model (LLM) for a customer support chatbot designed to handle incoming queries efficiently and accurately. Which key metrics should you prioritize monitoring to ensure the model performs optimally in this deployment scenario?
- A
Latency of the model's response
- B
Token generation rate
- C
Accuracy of the model's responses to customer queries
- D
Model training loss
- E
User satisfaction score based on feedback
- F
Throughput (number of queries handled per second)
Show answer and explanation
Correct answers: A, C, E, F
Explanation
In a customer support chatbot deployment scenario, it is important to monitor metrics that directly affect user experience and system performance. Latency ensures timely responses, accuracy ensures the chatbot provides correct and useful answers, throughput determines how well the system scales under high traffic, and user satisfaction score provides insight into the overall effectiveness of the chatbot. Metrics like token generation rate and model training loss are less relevant during deployment.
- A. Correct.
Latency of the model's response is critical in a customer support chatbot scenario, as users expect timely answers. Monitoring latency ensures the system remains responsive.
- B. Incorrect.
Token generation rate is more relevant during model fine-tuning or benchmarking rather than deployment, so it is not a priority for this scenario.
- C. Correct.
Accuracy of the model's responses is directly tied to the chatbot's ability to provide correct and helpful answers to customer queries, making it a key metric to monitor.
- D. Incorrect.
Model training loss is useful during the training phase but not typically relevant during deployment. The focus during deployment should be on the model's actual performance in production.
- E. Correct.
User satisfaction score is an important metric to monitor because it reflects how well the chatbot meets user needs and expectations in real-world usage.
- F. Correct.
Throughput is essential in a high-traffic environment, as it measures the system's ability to handle multiple queries efficiently without compromising performance.