#retrieval-augmented-generation-rag
#retrieval-augmented-generation-rag

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Mindsdb

Artificial intelligence

What's the Difference Between Fine-Tuning, Retraining, and RAG?

Customizing AI models with private data can enhance their performance for specific tasks.

Fine-tuning, retraining, and Retrieval-Augmented Generation (RAG) are techniques that can be used to customize AI models. [ more ]

Smashing Magazine

Data science

Language models can suffer from 'hallucinations' and provide inaccurate or outdated information.

Retrieval Augmented Generation (RAG) is a framework designed to address these limitations by incorporating relevant, up-to-date data. [ more ]

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