Using Foundation Models for Specialized Applications

This chapter explores the concept of foundation models in AI and their use in specialized applications. It discusses the characteristics of foundation models, such as being large and pre-trained on vast amounts of data, and highlights their adaptability through fine-tuning and prompt engineering. The chapter also showcases the benefits of foundation models in reducing the need for training new models from scratch and accelerating AI projects.