Accelerating Transformer Inference: A Deep Dive into the Architecture and Performance of FlashAttention

The Tyranny of Quadratic Complexity: Deconstructing the Transformer Inference Bottleneck The Transformer architecture has become the de facto standard for state-of-the-art models across numerous domains, from natural language processing to Read More …

Parameter-Efficient Adaptation of Large Language Models: A Technical Deep Dive into LoRA and QLoRA

The Imperative for Efficiency in Model Adaptation The advent of large language models (LLMs) represents a paradigm shift in artificial intelligence, with foundation models pre-trained on vast datasets demonstrating remarkable Read More …

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

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 …