Reading with Intent: Equipping LLMs to Understand Sarcasm in Multimodal RAG Systems

Retrieval Augmented Generation (RAG) has emerged as a powerful approach for enhancing the knowledge and capabilities of Large Language Models (LLMs). By integrating external information sources like Wikipedia or even the open internet, RAG systems empower LLMs to tackle a wider range of tasks with increased accuracy. However, as we increasingly rely on these systems, […] The post Reading with Intent: Equipping LLMs to Understand Sarcasm in Multimodal RAG Systems appeared first on Symbl.ai .