Otter is a multimodal model based on OpenFlamingo, with enhanced instruction execution and contextual learning capabilities.
Otter is an open-source multimodal model developed based on DeepMind’s Flamingo model, specifically trained on the MIMIC-IT dataset to enhance the model’s instruction-following and contextual learning capabilities. It is suitable for a variety of tasks that require processing images and text, such as image captioning and visual question answering.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"Enhanced command execution capability",
"Strong contextual learning ability",
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"datePublished": "2025-12-05T17:02:26.575062+00:00",
"dateModified": "2025-12-19T05:10:05.303829+00:00",
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"text": "Enhanced command execution capability, Strong contextual learning ability, Multimodal processing (image + text)"
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"text": "Image Description, Visual Question Answering, Image-Text Matching"
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"text": "可能需要较高的计算资源, 模型训练和使用门槛较高"
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