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Understanding LLM vs. RAG
The rise of AI-driven text generation has led to two powerful paradigms: Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). While LLMs are designed to generate responses based on extensive pre-trained datasets, RAG enhances this process by retrieving relevant external data before generating a response. Let us delve into understanding LLM vs. RAG, exploring the …
The rise of AI-driven text generation has led to two powerful paradigms: Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). While LLMs are designed to generate responses based on extensive pre-trained datasets, RAG enhances this process by retrieving relevant external data before generating a response. Let us delve into understanding LLM vs. RAG, exploring the …
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