Retraining vs RAG vs Context - Using Local Data on Large Language Models

Retraining vs RAG vs Context - Using Local Data on Large Language Models

Explore the methods of expanding large language model functionality through retraining, retrieval augmented generation (RAG), and context documents in this informative video. Learn how these techniques can be applied to both local and online models to enhance their capabilities. Gain insights into the differences between these approaches and understand their practical applications in leveraging local data with LLMs. Discover how these methods can be used to customize and improve AI models for specific tasks or domains.