@_TobiasLee: Seed 2.1 from Bytedance achieved impressive results on two of our benchmarks. Claw-Eval (Multimodal, https://claw-eval.…
Summary
ByteDance's Seed 2.1 model achieved strong results on multimodal agentic (Claw-Eval) and long video understanding (Video-MME) benchmarks, though a gap remains between perception and agentic capabilities.
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Seed 2.1 from Bytedance achieved impressive results on two of our benchmarks.
Claw-Eval (Multimodal, https://claw-eval.github.io) for agentic capabilities dealing with images and videos; and Video-MME (https://video-mme.github.io) for long video understanding.
Still a big GAP between the perception and agentic usage for multimodal models.
Seed 2.1 Blog: https://seed.bytedance.com/en/blog/seed2-1-officially-released-advancing-ai-productivity…
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