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- LLaVA: Large Language and Vision Assistant - GitHub
With additional scaling to LLaVA-1 5, LLaVA-NeXT-34B outperforms Gemini Pro on some benchmarks It can now process 4x more pixels and perform more tasks applications than before
- LLaVA系列——LLaVA、LLaVA-1. 5、LLaVA-NeXT、LLaVA-OneVision
LLaVA是一系列结构极简的多模态大模型。 不同于Flamingo的交叉注意力机制、BLIP系列的Q-Former，LLaVA直接 使用简单的线性层将视觉特征映射为文本特征，在一系列的多模态任务上取得了很好的效果。
- 【LLM多模态】LLava模型架构和训练过程 | CLIP模型-CSDN博客
LLaVA模型的架构，是将一个预训练的视觉编码器（CLIP ViT-L 14）与一个大规模语言模型（Vicuna）连接在一起。 这两个模型通过一个简单的映射矩阵连接，这个矩阵负责将视觉和语言特征对齐或转换，以便在一个统一的空间内对它们进行操作。
- LLaVA
LLaVA Model We introduce LLaVA (L arge L anguage- a nd- V ision A ssistant), an end-to-end trained large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding
- LLaVA README. md at main · haotian-liu LLaVA · GitHub
With additional scaling to LLaVA-1 5, LLaVA-NeXT-34B outperforms Gemini Pro on some benchmarks It can now process 4x more pixels and perform more tasks applications than before
- LLaVA: Large Language and Vision Assistant - Microsoft Research
LLaVA is an open-source project, collaborating with research community to advance the state-of-the-art in AI LLaVA represents the first end-to-end trained large multimodal model (LMM) that achieves impressive chat capabilities mimicking spirits of the multimodal GPT-4
- LLaVa - Hugging Face
Overview LLaVa is an open-source chatbot trained by fine-tuning LlamA Vicuna on GPT-generated multimodal instruction-following data It is an auto-regressive language model, based on the transformer architecture In other words, it is an multi-modal version of LLMs fine-tuned for chat instructions
- LLaVA（Large Language and Vision Assistant）大模型 - 知乎
LLaVA（Large Language and Vision Assistant）是一个由威斯康星大学麦迪逊分校、微软研究院和哥伦比亚大学研究者共同发布的多模态大模型。
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