Private Large Language Models for Improved Security and Accuracy
Public LLMs are trained exclusively on publicly available data, which sometimes lacks the depth needed for specialized, sensitive tasks. As a result, they may fall short of delivering highly accurate answers for more complex or proprietary needs. For organizations that prioritize secure, accurate insights, setting up a private LLM might be a valuable next step