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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 75 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 75
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

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?

  • A. Pairs of chatbot responses and 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
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Suggested Answer: C 🗳️
by PHD_CHENG at Nov. 20, 2024, 5:56 a.m.
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aws_Tamilan
3 weeks, 5 days ago
Selected Answer: C
C. Pairs of user messages and correct user intents Explanation: Few-shot learning involves training a model with a small number of examples (or samples). In this case, the goal is to improve intent detection, which requires a clear understanding of the user's intent based on their message. To fine-tune the large language model (LLM) using few-shot learning, the model needs examples of user messages along with their corresponding correct user intents. These pairs will teach the model how to accurately classify user intents based on input messages.
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PHD_CHENG
2 months ago
Selected Answer: C
C is correct answer
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