Navigating the AI Model Landscape

This chapter explores the convergence of open source and proprietary AI models, stressing the importance of developers controlling their AI strategies. It discusses the distinctions between pre-training and post-training phases in model development, while highlighting advancements such as DeepSeq's performance. The conversation also addresses enterprise hesitance towards certain models due to security concerns, and the increasing openness to hosted APIs as the understanding of AI technology evolves.