InternVL 2.5：模型、数据和测试时扩展开放源代码多模态模型的性能边界

from AI Podcast · host weedge

本播客讨论 InternVL 2.5，这是一种先进的多模态大型语言模型（MLLM）系列，它以 InternVL 2.0 为基础，在训练和测试策略以及数据质量方面进行了重大改进。通过对各种基准的广泛评估，包括多学科推理、文档理解、多图像/视频理解、现实世界理解、多模态幻觉检测、视觉定位、多语言能力和纯语言处理，InternVL 2.5 展现出具有竞争力的性能，可与 GPT-4o 和 Claude-3.5-Sonnet 等领先的商业模型相媲美。

Episode metadata supplied by the publisher feed · Published Feb 10, 2025

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InternVL 2.5：模型、数据和测试时扩展开放源代码多模态模型的性能边界

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