Tag: Transformer Optimization

Accelerating Large Language Model Inference: A Comprehensive Analysis of Speculative Decoding

Posted on by uplatzblog

The Autoregressive Bottleneck and the Rise of Speculative Execution The remarkable capabilities of modern Large Language Models (LLMs) are predicated on an architectural foundation known as autoregressive decoding. While powerful, Read More …

Architectures of Efficiency: A Comprehensive Analysis of KV Cache Optimization for Large Language Model Inference

Posted on by uplatzblog

The Foundation: The KV Cache as a Double-Edged Sword The advent of Large Language Models (LLMs) based on the Transformer architecture has catalyzed a paradigm shift in artificial intelligence. Central Read More …