Foundational models are reshaping the core principles of AI software development. There have been challenges with traditional AI product development, requiring vast resources involving extensive data collection and preparation, technical understanding of machine learning (ML), and significant testing and validation. With foundational models, there is reduced need for custom models, streamlined development teams, scalability, and a focus on speed to market.
