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Artificial Intelligence Task

Retrieval-Augmented Generation

Combines retrieval and generation models to find an present information in big corpora. In RAG, a retrieval model first selects relevant pieces of information from a large corpus, which are then used by a generation model to produce a coherent and contextually relevant response. It may or not be Q/A based.

Input

A query or prompt.

Output

Generated text enhanced by information retrieved from a data source

Goal

To produce relevant and informative text that incorporates or references external data

Learning Strategy

Combines retrieval-based methods with generative models

Evaluation Metric

Relevance, accuracy, fluency, and the quality of incorporated information

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