Model Compression in the Era of Large Language Models

Prazo para submissão: 30 December 2024

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Neural Networks

Link: https://www.sciencedirect.com/special-issue/305481/model-compression-in-the-era-of-large-language-models

Detalhes:

Large language models (LLMs), as series of large-scale, pre-trained, statistical language models based on neural networks, have achieved significant success in various fields, including natural language processing, multi-agent systems, and multimodal AI. Due to the wide applications and deployment scenarios, LLMs face significant efficiency challenges. It is even impractical to directly deploy LLMs with billions of parameters on edge devices like personal computers and smartphones. These scenari