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GENERATIVE-AI-LEADER · Question #39
GENERATIVE-AI-LEADER Question #39: Real Exam Question with Answer & Explanation
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Generative AI Solution Architecture
Question
A company is developing a generative AI-powered customer support chatbot. They want to ensure the chatbot can answer a wide range of customer questions accurately, even those related to recently updated product information not present in the model's original training dat
Options
- AWhat is a key benefit of implementing retrieval-augmented generation (RAG) in this chatbot?
- BRAG will significantly reduce the computational resources required to run the generative AI model.
- CRAG will primarily help the chatbot generate more creative and engaging conversational
- DRAG will enable the chatbot to fine-tune its underlying language model on the fly based on
- ERAG will enable the chatbot to access and utilize external, up-to-date knowledge sources to
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Topics
#Retrieval-Augmented Generation (RAG)#Generative AI Architectures#LLM Limitations#Knowledge Integration