7 Lessons from building a small-scale AI application
These are good. tl;dr:
- AI programming is stochastic;
- Data quality is real work;
- Models are only as good as the evaluation;
- Trust/Quality is the #1 issue;
- Your training pipeline is your core IP;
- AI is yet another distributed system;
- Don’t buy the AI library hype
via Niall Murphy.
Archives
Optimizing Java Apps on Kubernetes
“Optimizing Java Applications on Kubernetes: beyond the Basics”: Bruno Borges, at the InfoQ Dev Summit Boston, discusses the strategies for enhancing Java application performance on Kubernetes, focusing on leveraging JVM ergonomics, and managing garbage collection processes. Some interesting tips here.
Tags: kubernetes java eks resources ops scaling scalability gc optimization jvm