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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 98 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 98
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A company wants to implement a large language model (LLM) based chatbot to provide customer service agents with real-time contextual responses to customers' inquiries. The company will use the company's policies as the knowledge base.

Which solution will meet these requirements MOST cost-effectively?

  • A. Retrain the LLM on the company policy data.
  • B. Fine-tune the LLM on the company policy data.
  • C. Implement Retrieval Augmented Generation (RAG) for in-context responses.
  • D. Use pre-training and data augmentation on the company policy data.
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Suggested Answer: C 🗳️
by aws_Tamilan at Dec. 28, 2024, 4:56 a.m.
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85b5b55
5 days, 7 hours ago
Selected Answer: C
RAG provides most cost-effective solution
upvoted 1 times
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may2021_r
1 month, 1 week ago
Selected Answer: C
The correct answer is C. RAG allows direct use of policy documents without expensive model training.
upvoted 1 times
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aws_Tamilan
1 month, 1 week ago
Selected Answer: C
RAG (Option C) is the most cost-effective choice because it allows the LLM to dynamically retrieve relevant information from a predefined knowledge base (the company policy) at inference time, without needing extensive fine-tuning or retraining of the model. This reduces the need for costly computational resources while still providing accurate, contextual responses.
upvoted 1 times
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