Q50 — AWS AIF-C01 Ch.2

Question 50 of 100 | ← Chapter 2

A company is developing a chatbot to improve user experience. It is using a large language model (LLM) from Amazon Bedrock for intent detection and wants to apply few-shot learning to improve intent detection accuracy. What additional data does the company need to meet these requirements?

• A. Multiple sets of chatbot responses paired with correct user intents.
• B. Pairs of user messages and correct chatbot responses.
• C. Pairs of user messages and correct user intents. ✓
• D. Pairs of user intents and correct chatbot responses.

Correct Answer: C. Pairs of user messages and correct user intents.

Explanation

To improve intent detection accuracy for a chatbot, the key is enabling the model to accurately understand user input and identify the underlying intent. Therefore, training and optimization require paired data consisting of user messages and their corresponding correct intents. This pairing helps the model learn associations between user inputs and intents, leading to more accurate intent recognition. Hence, the company needs user messages paired with correct user intents.