April 24, 2023, 12:49 a.m. | Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny

cs.CV updates on arXiv.org arxiv.org

The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such
as directly generating websites from handwritten text and identifying humorous
elements within images. These features are rarely observed in previous
vision-language models. We believe the primary reason for GPT-4's advanced
multi-modal generation capabilities lies in the utilization of a more advanced
large language model (LLM). To examine this phenomenon, we present MiniGPT-4,
which aligns a frozen visual encoder with a frozen LLM, Vicuna, using just one
projection layer. Our findings reveal …

advanced arxiv encoder features gpt gpt-4 images language language model language models language understanding large language model large language models lies llm minigpt minigpt-4 projection text understanding vicuna vision websites

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