Generalization Challenges

Machine learning often showcases impressive prototypes, yet many struggle with generalization and extrapolation. The key lies in understanding how to effectively generate and utilize training data, as well as developing new metrics for assessing image quality. By automating data generation and creating robust models, the field can move beyond mere circus stunts to deliver impactful solutions.