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A company plans to deploy a large language model (LLM) chatbot to give customer service agents real-time, context-aware answers using the company's policies as the knowledge base.
What is the most cost-effective solution to meet these requirements?
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.