Amazon Web Services AWS Certified AI Practitioner Exam AIF-C01 Question # 65 Topic 7 Discussion
AIF-C01 Exam Topic 7 Question 65 Discussion:
Question #: 65
Topic #: 7
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.
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.
Retraining or pre-training is costly and unnecessary for just using company policies.
Fine-tuning adapts models but is inefficient for frequently changing company documents.
Retrieval-Augmented Generation (RAG) is the best approach — it retrieves relevant policy documents from a knowledge base and feeds them into the model context in real time, ensuring accurate and up-to-date responses.
???? Reference:
AWS Documentation – RAG with Amazon Bedrock
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit