Advancements and Challenges in AI Systems

The chapter explores the continuous learning and updating capabilities of AI systems, discussing the challenges in implementing real-time learning and connectivity for personalized outcomes. It addresses the limitations of generative AI in providing accurate information and suggests workarounds like retrieval augmented generation. Furthermore, it delves into concerns regarding running out of data for pre-training AI models and the ethical implications of using copyrighted data for commercial purposes.