Model Flexibility

Building a flexible infrastructure is crucial in the rapidly evolving landscape of machine learning models. As models like R2 or Alibaba's emerge, the ability to seamlessly integrate and swap them out becomes essential. The conversation highlights a shift towards application layers, where the true opportunities lie, as large language models become commoditized and open-source, paving the way for innovation in various industries.