Tag: Speculative Decoding

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 …

A Comprehensive Analysis of Modern LLM Inference Optimization Techniques: From Model Compression to System-Level Acceleration

Posted on by uplatzblog

The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLM) in production environments has shifted the focus of the machine learning community from training-centric Read More …