An AI practitioner needs to improve the accuracy of a natural language generation model. The model uses rapidly changing inventory data. Which technique will improve the model's accuracy?

The correct answer is C. Retrieval Augmented Generation (RAG). Retrieval Augmented Generation (RAG) enhances large language models by retrieving relevant documents or data at inference time, enabling the model to generate accurate and contextually relevant responses, especially for dynamic or frequently updated datasets.

Submitted by fernanda_arg· Mar 30, 2026Applications of Foundation Models

Question

Options

ATransfer learning
BFederated learning
CRetrieval Augmented Generation (RAG)
DOne-shot prompting

How the community answered

(50 responses)

A
20% (10)
B
6% (3)
C
64% (32)
D
10% (5)

Explanation

Retrieval Augmented Generation (RAG) enhances large language models by retrieving relevant documents or data at inference time, enabling the model to generate accurate and contextually relevant responses, especially for dynamic or frequently updated datasets.

Topics

#RAG#dynamic data#natural language generation#accuracy improvement

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