RAG vs. Fine-Tuning: Picking the Right Approach for Your AI Project**
In the AI realm, the debate between Retrieval-Augmented Generation (RAG) and fine-tuning has been heating up, especially when it comes to large language models (LLMs). As a developer or researcher, understanding these methods' intricacies is key to building a solid AI project. Let's dive deep into both strategies to help you make an informed choice.
The Lowdown on RAG and Fine-Tuning
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