Until recently, many people viewed large language models (LLMs) largely as toys interesting to look at but not very practical in a business setting. However, that perception has begun to shift rapidly. Today, organizations in all types of businesses are looking into how they can implement these models into their current systems, changing their view from curiosity to real-world application.
But even though LLMs have become relatively easy to call via APIs, getting LLMs into an enterprise environment presents additional challenges. Specifically, these challenges include integrating into existing business processes, ensuring they can work with internal data, and ensuring they will provide accurate results for day-to-day operations. This is where many companies run into problems: bridging the gap between how LLMs can help their business and how to implement this model for production use.