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A company has implemented an AI/ML solution to assist customer service agents by answering frequently asked questions. Since the questions may evolve, the company needs a cost-effective method to allow agents to query the system and get automatically generated responses to common customer inquiries.
Which approach will most cost-effectively fulfill these requirements?
A
Fine-tune the model regularly.
B
Train the model by using context data.
C
Pre-train and benchmark the model by using context data.
D
Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.