High-Performance Go Implementation of Attention Mechanisms and Transformer Layers

The Frontier Research Team at takara.ai presents the first pure Go implementation of attention mechanisms and transformer layers, prioritizing high performance and ease of use. This library includes dot-product attention, multi-head attention, and a complete transformer layer implementation, featuring batched operations for improved throughput and CPU-optimized matrix operations. Ideal for edge computing, real-time processing, cloud-native applications, embedded systems, and production deployments, future improvements include positional encoding, dropout, and CUDA acceleration.