LLaVA
LLaVA is a Large Language and Vision Assistant designed to achieve GPT-4 level capabilities in multimodal understanding. It utilizes visual instruction tuning to bridge the gap between natural language and computer vision, enabling the model to interpret images, answer visual questions, and follow complex instructions. The software includes advanced versions such as LLaVA-NeXT, which supports larger language models like Llama-3 and Qwen, handles higher resolution inputs, and performs zero-shot video analysis. LLaVA serves as a foundational framework for researchers and developers building multimodal agents, offering tool usage capabilities through variants like LLaVA-Plus and interactive interfaces. It provides extensive community support with integrations for llama.cpp, Hugging Face Spaces, and evaluation pipelines like LMMs-Eval for rapid testing across numerous benchmarks. Key applications include image captioning, visual reasoning, document analysis, and autonomous agent tasks. The project is accompanied