AI Engineering Reading Notes — Chapter 3: Evaluation Methodologies
How do we know an AI application is good enough? Notes on measuring predictions, testing outcomes, comparing answers, and evaluating the judges themselves.
Posts
AI Engineering Reading Notes — Chapter 2: Understanding Foundation Models
Understanding what shapes a foundation model: the data it learns from, its architecture, how it is trained to answer, and how it selects output tokens.
AI Engineering Reading Notes — Chapter 1: Foundation Models
Reading Chapter 1 of AI Engineering: how language models learn, what makes a foundation model useful, and why adapting an existing model is a practical starting point.
I Passed the CKAD Exam: What Helped Me Succeed
A personal reflection on passing CKAD through repeated kubectl practice, objective-driven study, documentation, and hands-on Kubernetes labs.
I Passed EX280: Red Hat OpenShift Administrator
A personal reflection on passing EX280 through official Red Hat training, objective-driven study, documentation, and hands-on OpenShift practice in my home lab.
Install an Additional NVMe SSD in the AOOSTAR GEM10
A practical hardware-to-Proxmox guide for adding a 2 TB Lexar NM790 NVMe SSD to the AOOSTAR GEM10 home-lab server.
Road to EX280: Preparing for OpenShift Administration
My EX280 preparation plan combines official Red Hat training and documentation with repeatable OpenShift practice in my Proxmox home lab.
Deploy a Single-Node k3s Kubernetes Cluster on Proxmox with kcli
A tested kcli workflow for deploying k3s on Proxmox, with the storage and kubeconfig problems I hit along the way.
Install kcli on macOS and Manage Proxmox VMs
A practical guide to running kcli on a Mac, configuring Proxmox API and SSH access, and creating the first VM from a cloud image.
Tips for Passing the EX188: Red Hat Certified Specialist in Containers
A hands-on preparation guide for EX188 covering Podman muscle memory, rootless containers, systemd integration, and exam-day habits.