Wow Insider
RAG vs Fine-Tuning : Which One Should You Use?
Large Language Models (LLMs) have transformed how organisations process information, generate content, and automate tasks. Yet, one persistent challenge remains: how to adapt these powerful models for specialised tasks without sacrificing accuracy, efficiency, or reliability. Two popular approaches have emerged: Retrieval-Augmented Generation (RAG) and Fine-tuning. RAG enhances a model’s capabilities by allowing it to pull in external knowledge in real
RAG vs Fine-Tuning : Which One Should You Use?
Large Language Models (LLMs) have transformed how organisations process information, generate content, and automate tasks. Yet, one persistent challenge remains: how to adapt these powerful models for specialised tasks without sacrificing accuracy, efficiency, or reliability. Two popular approaches have emerged: Retrieval-Augmented Generation (RAG) and Fine-tuning. RAG enhances a model’s capabilities by allowing it to pull in external knowledge in real
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