Evolution of AI Model Training and Competition

This chapter explores the evolution of language model training, from large-scale, complex methods to more streamlined and scalable approaches. It examines the competitive dynamics in the AI space, particularly the information-sharing strategies of major companies like OpenAI, Google, and Meta, and discusses the implications for market competition and innovation. Additionally, the chapter highlights challenges related to hosting and serving AI models, with a focus on financial considerations and the balance between efficiency and quality in model deployment.