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...
In the past year, Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in tasks such as visual question answering, visual understanding and reasoning. However, the extensive model size and high training and inference costs have hindered the widespread application of MLLMs ...
Manning}, journal={arXiv preprint arXiv:2410.03051}, year={2024} } License This project is released under the Apache License 2.0. Please also adhere to the Licenses of models and datasets being used.About A more efficient multimodal large language model series. rese1f.github.io/aurora-web/...
Efficient and Robust Training and Inference Techniques for Multimodal Large Language Models摘要 ABSTRACT Large language models, exemplified by ChatGPT, have garnered significant attention for their powerful generalization capabilities and practical ...
2、[CL] Learning and Forgetting Unsafe Examples in Large Language Models 3、[CL] Mini-GPTs:Efficient Large Language Models through Contextual Pruning 4、[LG] Generative Multimodal Models are In-Context Learners 5、[LG] PowerInfer:Fast Large Language Model Serving with a Consumer-grade GPU ...
Large Multimodal Models (LMMs) have shown significant visual reasoning capabilities by connecting a visual encoder and a large language model. LMMs typically take in a fixed and large amount of visual tokens, such as the penultimate layer features in the CLIP visual encoder, as the prefix content...
Instruction-based image editing improves the controllability and flexibility of image manipulation via natural commands without elaborate descriptions or regional masks. However, human instructions are sometimes too brief for current methods to capture and follow. Multimodal large language models (MLLMs) sho...
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 Scientific...
Advancements in AI research – particularly large, multipurpose, multimodal foundation models – represent a fundamental shift in capabilities of machine learning. AI models are capable of handling an unprecedented, wide array of tasks. Meta AI’sSegment Anything Modelcan segment the edges of a mecha...
Efficient Large Language Models: A Survey[arXiv](Version 1: 12/06/2023; Version 2: 12/23/2023; Version 3: 01/31/2024; Version 4: 05/23/2024, camera ready version of Transactions on Machine Learning Research) , Xin Wang1, Che Liu5, Shen Yan6, Yi Zhu7, Quanlu Zhang84 ...