Understanding LLM vs. RAG
Yatin B.1 min read
Date: 2025-02-10
Large Language Models (LLMs) generate text from pre-trained data, offering fluency but limited by outdated or inaccurate information. Retrieval-Augmented Generation (RAG) enhances LLMs by incorporating real-time data retrieval from external sources, improving accuracy and reducing hallucinations. LLMs are best for general-purpose tasks prioritizing speed, while RAG excels when up-to-date information and factual accuracy are crucial. The choice depends on the application's needs; combining both approaches offers the best of both worlds.
Read more: https://www.javacodegeeks.com/understanding-llm-vs-rag.html
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factual accuracyAILarge Language Modelllmnatural language processingRAG Retrieval-Augmented Generation
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