This Roundtable discussion explored the concept of ‘private AI’ and how it holds the key to developing advanced AI applications specifically tailored to the unique needs of enterprises. We’ll focus on strategically leveraging LLMs using a corpus of proprietary data, uncovering how enterprises can utilize their vast data repositories to train and fine-tune LLMs, enabling a better understanding of domain-specific contexts and providing more accurate insights.

Throughout the discussion, we explored the key criteria of an optimal database for generative AI, the potential benefits of collaboration and knowledge sharing between organizations to enhance the performance and understanding of LLMs, and how to pave the way for cutting-edge AI applications that uphold data privacy and ethical standards.