5月17日,鹅厂协同国内几大高校实验室发布了一篇有关多模态大模型的综述文章《Efficient Multimodal Large Language Models: A Survey》,有广度有深度地介绍了多模态大模型的行业发展现状,对多模态大模型发展感觉兴趣的同学觉得有用就一键三连吧~ *本文只摘译精华部分,需要了解全文的请至文末跳转至原文链接阅读。 *楼...
[CL] Efficient Large Language Models: A Survey http://t.cn/A6l4KWsM 关于高效大型语言模型的综述。大型语言模型在自然语言理解、语言生成和复杂推理等重要任务中展现出了卓越的能力,并有潜力对社会产生...
原文链接 Efficient Prompting Methods for Large Language Models: A Survey Abstract:提示已经成为将大型语言模型(LLMs)适应特定自然语言处理任务的主流范式。虽然这种方法为LLMs的上下文学习打开了大门,但…
Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding, language generation, and complex reasoning and have the potential to make a substantial impact on our society. Such capabili
Efficient-Multimodal-LLMs-Survey Efficient Multimodal Large Language Models: A Survey [arXiv] Yizhang Jin12, Jian Li1, Yexin Liu3, Tianjun Gu4, Kai Wu1, Zhengkai Jiang1, Muyang He3, Bo Zhao3, Xin Tan4, Zhenye Gan1, Yabiao Wang1, Chengjie Wang1, Lizhuang Ma2 1Tencent YouTu La...
Reparameterization-Based Parameter-Efficient Fine-Tuning Methods for Large Language Models: A Systematic Surveydoi:10.1007/978-981-97-9437-9_9The rapid advancement of Large Language Models (LLMs) has revolutionized both academia and industry, leveraging Transformer architectures and pre-training objectives...
Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding, language generation, and complex reasoning and have the potential to make a substantial impact on our society. Such capabilities, however, come with the considerable resources...
Hanayo: Harnessing Wave-Like Pipeline Parallelism for Enhanced Large Model Training Efficiency Ziming Liu, Shenggan Cheng, Hao Zhou, Yang You 2023 Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientifi...
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Anand Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, ...
大模型微调survey原文: Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey摘要: 大型模型代表了多个应用领域的突破性进步,在各种任务中取得了显著的成就。然而,它们前所未有的规模带…