Shypd.aiThe largest open index of AI toolsEagle is an open-source vision-language model designed for long-context multimodal learning, supporting long video comprehension and high-resolution image understanding. It offers state-of-the-art performance on various video and image benchmarks.
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Eagle 2.5 is a family of frontier vision-language models (VLMs) developed by NVlabs, specifically engineered for long-context multimodal learning. Unlike many existing VLMs that focus on short-context tasks, Eagle 2.5 excels at challenges like long video comprehension and high-resolution image understanding, providing a generalist framework for both. It supports up to 512 video frames and is trained jointly on image and video data, including the novel Eagle-Video-110K dataset. Key innovations include Information-First Sampling for optimal image and text retention, Progressive Mixed Post-Training for enhanced context length processing, and Diversity-Driven Data Recipe. The model also features significant efficiency and framework optimizations, such as GPU memory optimization and inference acceleration, making it suitable for advanced research and development in multimodal AI.
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