The Role of Semantic Layers with LLMs

In today’s business landscape, Large Language Models (LLMs) are essential tools for driving innovation, streamlining operations, and unlocking new opportunities for growth. A Large Language Model, or LLM, is an advanced AI model designed to perform Natural Language Processing (NLP) tasks, including interpreting, translating, predicting, and generating coherent, contextually relevant text. One core benefit of LLMs is the ability to quickly generate insights from a large corpus of documents while using any context provided in a prompt. However, all LLMs come with challenges that can be difficult to address without the proper expertise and technology. Challenges While LLMs are a powerful means of interfacing with an organization’s information, the effectiveness of LLMs is often hampered by the complexity and disorganization of the data they rely on.