LLaVA represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science QA.
| General | |
|---|---|
| Relese date | November 20, 2023 |
| Repository | https://github.com/haotian-liu/LLaVA |
| Type | Multimodal Language and Vision Model |
What is LLaVA?
Visual Instruction Tuning: LLaVA, short for Large Language-and-Vision Assistant, represents a significant leap in multimodal AI models.
With a focus on visual instruction tuning, LLaVA has been engineered to rival the capabilities of GPT-4V, demonstrating its exceptional prowess in understanding both language and vision. This state-of-the-art model excels in tasks ranging from impressive chatbot interactions to setting a new standard in science question-answering accuracy, achieving a remarkable 92.53%. With LLaVA's innovative approach to instruction-following data and the effective combination of vision and language models, it promises a versatile solution for diverse applications, marking a significant milestone in the field of multimodal AI.
LLaVA Tutorials
👉 Discover more LLavA Tutorials on lablab.build
LLaVA Libraries
A curated list of libraries and technologies to help you build great projects with 'technology'.
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