Turns out an AI can be your executive assistant, but it requires a twist of creative writing and software development: prompting, not necessarily programming.
The rise in usage of Kubernetes for AI/ML workloads has led engineers to question the suitability and effectiveness of Kubernetes' resource management and scheduling to meet the growing requirements of these workloads. So what?
Building lightweight ML applications with python, pandas, streamlit, and scikit-learn is a awesome. Let's run through a simple example app to illustrate this.