9 items with this tag.
Una primera libreta corregida sobre PyTorch, funciones de activación, descenso de gradiente, atención, Kubeflow, GPUs, inferencia estocástica y agentes.
A first corrected notebook on PyTorch, activation functions, gradient descent, attention, Kubeflow, GPUs, stochastic inference, and agents.
Understanding the difference between model training and model serving/inference.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Architecture decisions and lessons learned scaling AI agentic systems on GCP with Kubernetes, Helm, and Secret Manager.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Architecture decisions and lessons learned scaling AI agentic systems on GCP with Kubernetes, Helm, and Secret Manager.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Architecture decisions and lessons learned scaling AI agentic systems on GCP with Kubernetes, Helm, and Secret Manager.