AI Model Scaling

Vivek and Tao discuss the challenges of scaling AI models, highlighting the complexity of training larger models and the importance of human evaluation. Nathan delves into the merging of language and vision models, showcasing the intricate process of experimenting with different model sizes to achieve optimal performance.