AI

Cloud-based generative AI often underperforms due to complex architecture and varied challenges, including deployment intricacies, model optimization, security, and compliance issues. Best practices like automation, serverless computing, and continuous model updates can mitigate these issues, improving efficiency and meeting user expectations.