Summary
This chapter explores the integration of LLMs into business processes. It begins by offering some insight into the different strategies that businesses could use to leverage Generative AI technology. The chapter covers the use of third-party APIs, fine-tuning pre-trained models, and the innovative application of RAG to tailor solutions that integrate smoothly with existing IT infrastructure.
The exploration of RAG highlights its role in addressing the limitations of traditional LLMs that rely on fixed training data. By enabling real-time access to extensive databases, RAG enhances the accuracy and specificity of LLM outputs, making them more effective for applications needing up-to-date knowledge or expertise. This is particularly useful in sectors like healthcare and legal services, where RAG can fetch the latest guidelines or case laws to assist professionals.
In the next chapters, we'll navigate and address some of the technical challenges of optimizing the RAG strategy...
