Joshua Klein

RAG is a technique used in Generative AI to enhance models with text retrieved from an additional source of information. Read about it.

Tutorial on how to combine New Relic with Split’s IFID capabilities to build a winning team for monitoring feature-level performance.

Code tutorial on building an AI/ML driven basic recommendation system using feature flags from Split plus SciKit and Tensorflow.

Split allows you to set up guardrail metrics to ensure that you don’t break things during progressive delivery.

Stable diffusion is a type of deep learning AI model that generates images from textural descriptions. It belongs to a category of models called ‘diffusion models’. These models start with random noise that they repeatedly refine into an image that… Read more

A/B testing is a fantastic capability to have; it’s the most basic experimentation method and is core to the practice. It answers the simple question: “Which increases my success metrics more, A or B?” A/B testing on the web is… Read more

Split’s measurement & learning capabilities can help you evaluate and iterate AI quickly and safely.

Let’s define what software architecture is, and look at what makes a solid one for an agile digital team.

Integration of data between systems when using APIs is one of the most important components of any cohesive stack of applications. Let’s take a look.