The challenge for ML in production is to generalize to constantly changing edge cases. 2 main approaches:
1. Use massive data because more data can lead to better generalization
2. Build infra that allows models to learn to adapt in real-time
Hmu if you're excited about #2!
1. Use massive data because more data can lead to better generalization
2. Build infra that allows models to learn to adapt in real-time
Hmu if you're excited about #2!