A Generative Al Engineer is tasked with improving the RAG quality by addressing its inflammatory outputs. Which action would be most effective in mitigating the problem of offensive text outputs?
A.
Increase the frequency of upstream data updates
B.
Inform the user of the expected RAG behavior
C.
Restrict access to the data sources to a limited number of users
D.
Curate upstream data properly that includes manual review before it is fed into the RAG system
Restricing or informing User, or increasing the frequency doesn't eliminate toxicity. Curating upstream data to remove unwanted stuff through manual review will remove toxicity
Integrating a manual review process in RAG systems addresses several critical concerns:
- Accuracy: Manual reviews by experts help to verify the correctness of the information retrieved and generated, reducing the chance of inaccuracies or misleading responses often referred to as "hallucinations" in AI.
- Domain Expertise: Trained professionals can provide nuanced insights that automated systems alone cannot achieve, especially in complex fields like healthcare or specialized technical documents.
- Quality Assurance: Manual reviews serve as an audit mechanism, ensuring that the AI-generated responses meet the established standards of quality and reliability, particularly when handling sensitive information.
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