Summary

This tech analysis compares the machine learning capabilities of Apple's M2 Pro and M2 Max chips by training and experimenting with various deep learning models like ResNet, MobileNet, and BERT. The practical conclusion highlights that large language models, such as BERT, require significant RAM and can strain consumer-grade hardware like a MacBook Air, suggesting the need to optimize or utilize higher-spec machines for such tasks.