This episode discusses the use of Retrieval-Augmented Generation (RAG) technology in legal applications, particularly for smaller law firms. RAG systems combine large language models (LLMs) like ChatGPT with the ability to retrieve information from a firm's internal databases, which enhances the accuracy of legal responses by reducing the risk of "hallucination" or fabricated information. The podcast explores the advantages and disadvantages of using open-source LLMs for RAG systems, highlighting the benefits of local deployment for privacy and cost-effectiveness while acknowledging potential limitations in generalization and consistency.
