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What is RAG, a term that comes up a lot in LLM?
Expanding the horizons of knowledge: Exploring new possibilities in language modeling with RAG.
Introduction
When learning new knowledge, there are so many terms we don’t know that we sometimes miss something important.
On the other hand, understanding the terminology can also help us gain knowledge quickly.
That’s why I wanted to summarize what the term RAG means, as it’s been thrown around a lot lately.
RAG: Understanding Retrieval-Augmented Generation
RAG stands for “Retrieval-Augmented Generation” and is an important part of modern language modeling techniques.
This concept refers to the way that, instead of simply relying on training data to generate answers, traditional language models additionally retrieve information from external databases and incorporate the results into the generation process.
This allows the model to provide more accurate and richer information.
Integrating external data
The key to RAG is effectively utilizing external information.
The model first analyzes the user’s question to identify important keywords, and then retrieves…
