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 …

Democratizing Intelligence: A Comprehensive Analysis of Quantization and Compression for Deploying Large Language Models on Consumer Hardware

The Imperative for Model Compression on Consumer Hardware The field of artificial intelligence is currently defined by the remarkable and accelerating capabilities of Large Language Models (LLMs). These models, however, Read More …