Understanding the Key Differences Between RAG and Fine-tuning in Large Language Models
Introduction In the rapidly evolving world of artificial intelligence, two prominent methods stand out for enhancing the capabilities of large language models (LLMs): Retrieval-Augmented Generation (RAG) and fine-tuning. Both strategies offer unique advantages and applications, yet they cater to different needs within the AI community. This post delves into the core distinctions between RAG and […]
Understanding the Key Differences Between RAG and Fine-tuning in Large Language Models Read More »