AIF-C01 · Question #24
A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to…
The correct answer is C. Pairs of user messages and correct user intents. Few-shot learning involves providing a model with a few examples (shots) to learn from. For improving intent detection accuracy in a chatbot using a large language model (LLM), the data should consist of pairs of user messages and their corresponding correct intents.
Question
A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy. Which additional data does the company need to meet these requirements?
Options
- APairs of chatbot responses and correct user intents
- BPairs of user messages and correct chatbot responses
- CPairs of user messages and correct user intents
- DPairs of user intents and correct chatbot responses
How the community answered
(43 responses)- A14% (6)
- B7% (3)
- C77% (33)
- D2% (1)
Explanation
Few-shot learning involves providing a model with a few examples (shots) to learn from. For improving intent detection accuracy in a chatbot using a large language model (LLM), the data should consist of pairs of user messages and their corresponding correct intents.
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