Enterprises Need RAG, Not Fine-Tuning.

RAG, or retrieval augmented generation, or what some call ‘fancier prompt engineering’, often comes up for discussion when talking about hallucinations in current LLMs. 

Some people choose to fine-tune existing LLMs on their data to make them more useful, while others just connect to an external data source, which is what RAG basically is. 

The most important reason for enterprises to RAG is to reduce hallucination and provide more accurate, relevant, and trustworthy outputs while maintaining control over the information sources.