Tag: Sparse Attention

Architectures of Scale: A Technical Report on Long-Context Windows in Transformer Models

Posted on by uplatzblog

Executive Summary The capacity of Large Language Models (LLMs) to process and reason over extensive sequences of information—a capability defined by their “context window”—has become a pivotal frontier in artificial Read More …

Architectures and Strategies for Scaling Language Models to 100K+ Token Contexts

Posted on by uplatzblog

The Quadratic Barrier: Fundamental Constraints in Transformer Scaling The transformative success of Large Language Models (LLMs) is built upon the Transformer architecture, a design that excels at capturing complex dependencies Read More …