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A Generative AI Engineer has developed a RAG application to help employees interpret HR documentation. The prototype is functional and has received positive initial feedback from internal testers. How should the engineer now formally evaluate the system's performance and identify areas for improvement?
A
Use ROUGE score to comprehensively evaluate the quality of the final generated answers.
B
Use an LLM-as-a-judge to evaluate the quality of the final answers generated.
C
Curate a dataset that can test the retrieval and generation components of the system separately. Use MLflow’s built in evaluation metrics to perform the evaluation on the retrieval and generation components.
D
Benchmark multiple LLMs with the same data and pick the best LLM for the job.