左边是输入,中间是输出,右边是原图 paper:Masked Autoencoders Are Scalable Vision Learners 大模型的多模态 大部分(模态对齐)训练期间,encoder,LLM Backbone 和 generator 一般保持冻结。 主要优化的重点将落在输入投影与输出投影之中,而这两部分一般参数量仅占总体参数的 2%。 多模态编码器 图像(ViT、CLIP ViT)...
NVLM-X:通过消除在LLM解码器侧展开所有图像标记的需要,NVLM-X能够更高效地处理高分辨率图像。需要注意的是,仅解码器的NVLM-D需要更长的序列长度,因为所有图像标记都被连接并输入到LLM解码器中,导致更高的GPU内存消耗和更低的训练吞吐量。 NVLM-D:由于所有图像标记都被连接并输入到LLM解码器中,导致非常长的序列...
The technical structure and advantages of Multimodal LLM How Multimodal LLM responds to user prompts Want to know about Google’s Latest Move on Its AI Model? Why does Multimodal LLM advance existing AI products? How Multimodal LLM training happens for the different data modes 1. Text data train...
综述二:MM-LLMs: Recent Advances in MultiModal Large Language Models 一、主流的MM-LLMs分类 二、MM-LLM的不同模块 三、主流MM LLM的效果 Reference 综述一:A Survey on Multimodal Large Language Models 论文链接:https://arxiv.org/pdf/2306.13549.pdf 项目链接:https://github.com/BradyFU/Awesome-Multim...
8月29日，国际首个月球科学多模态专业大模型在2024中国国际大数据产业博览会上发布。On August 29, the world's first professional, multimodal large language model (LLM) for the field of lunar science has been released at the China International Big Data Industry Expo.8月29日，一名观众在观看月球科学...
Incorporating additional modalities to LLMs (Large Language Models) creates LMMs (Large Multimodal Models). Not all multimodal systems are LMMs. For example, text-to-image models like Midjourney, Stable Diffusion, and Dall-E are multimodal but don’t have a language model component. Multimodal ca...
M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, includingtext, images, audio, and so on. At their core, M-LLMs consist of versatile neural networks capable of ingesting various data types, thereby gaining insights acros...
Large language models (LLMs) are believed to contain vast knowledge. Many works have extended LLMs to multimodal models and applied them to various multimodal downstream tasks with a unified model structure using prompt. Appropriate prompts can stimulate the knowledge capabilities of the model to sol...
🔥🔥🔥MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs [🍎 Project Page] [📖 arXiv Paper] Jointly introduced byMME,MMBench, andLLaVAteams. ✨ 🔥🔥🔥Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis ...
The research findings challenge previous estimates of multimodal LLMs’ perceptual capacities, suggesting they may have been overstated. Moreover, these models could potentially benefit from incorporating insights from specialist models that excel in specific domai...