📄️ Literature Review: Modular and Composable MoE Systems
Modern Mixture-of-Experts (MoE) systems are the result of several years of research demonstrating that large language models can be sparse, modular, and composable.
📄️ What Is a Mixture-of-Experts Model?
A Mixture-of-Experts (MoE) model replaces the dense feed-forward block in a transformer with a collection of specialized subnetworks — called experts — coordinated by a routing mechanism.
📄️ TEFT: Targeted Expert Fine-Tuning
Targeted Expert Fine-Tuning (TEFT) is the optimization framework behind BlockZero. It enables large Mixture-of-Experts (MoE) models to adapt to new domains without retraining the entire model — and without requiring centralized, high-bandwidth infrastructure.