Large Language Models (LLMs) have shown excellent generalization capabilities that have
led to the development of numerous models. These models propose various new …

Large models represent a groundbreaking advancement in multiple application fields,
enabling remarkable achievements across various tasks. However, their unprecedented …

Large Language Models (LLMs) have revolutionized natural language processing tasks with
remarkable success. However, their formidable size and computational demands present …

The booming development of deep learning applications and services heavily relies on
large deep learning models and massive data in the cloud. However, cloud-based deep …

Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

In the rapidly evolving landscape of artificial intelligence (AI), generative large language
models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …

Large Language Models (LLMs) excel in NLP, but their demands hinder their widespread
deployment. While Quantization-Aware Training (QAT) offers a solution, its extensive …

Large Language Models (LLMs) have demonstrated remarkable capabilities in important
tasks such as natural language understanding, language generation, and complex …

Large Language Models (LLMs) with billions of parameters have drastically transformed AI
applications. However, their demanding computation during inference has raised significant …

Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …