MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Recent advancements in Large Vision Language Models (LVLMs) have shown that scaling these frameworks significantly boosts performance across a variety of downstream tasks. LVLMs, including MiniGPT, LLaMA, and others, have achieved remarkable capabilities by incorporating visual projection layers and an image encoder into their architecture. By implementing these components, LVLMs enhance the visual perception capabilities […]

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architecture artificial intelligence capabilities components encoder experts frameworks image language language models large language models large vision models llama llava llm llm hallucinations lvlm minigpt mixture of experts moe performance projection scaling tasks vision vision-language models visual