Jeremy Jordan

Training extremely large neural networks across thousands of GPUs.

Understanding the Transformer architecture for neural networks

Understanding the attention mechanism in sequence models

Managing your machine learning infrastructure as code with Terraform

Terraform configuration: quick reference

A simple solution for monitoring ML systems.

Effective testing for machine learning systems.

An introduction to Kubernetes.

Building machine learning products: a problem well-defined is a problem half-solved.

Introduction to recurrent neural networks.

Scaling nearest neighbors search with approximate methods.

Organizing machine learning projects: project management guidelines.

An overview of object detection: one-stage methods.

Evaluating image segmentation models.

An overview of semantic image segmentation.