Seed by ByteDance
A generalized multimodal agent for real-world complex tasks.
Visit Seed by ByteDanceAbout Seed by ByteDance
Seed by ByteDance is a state-of-the-art generalized agentic model (Seed1.8) that efficiently and accurately accomplishes complex tasks in real-world scenarios. Supporting both text and image inputs, Seed1.8 is equipped for multimodal processing, excelling in information retrieval, coding, GUI interaction, and video understanding. Designed for researchers, developers, and organizations seeking advanced large language, vision-language, and agentic AI capabilities, Seed enables real-time interaction and tool-use across diverse application domains.
Latest News about Seed by ByteDance
ByteDance Launches SeedAudio 1.0: A Unified Audio Powerhouse Challenging the Status Quo
SeedAudio 1.0 isn't just another voice generator — it's a unified tool for sound design that blurs the line between creation and post-production.
ByteDance outlines four AI priorities for 2026
ByteDance has set four AI priorities for 2026: investing in world models, keeping the video model `Seedance` at top-tier performance, strengthening its coding foundation and agent capabilities, and accelerating commercialization of `Doubao` with an office-productivity focus, according to a 36Kr exclusive. Per 36Kr, Doubao's daily active users reached 200 million shortly after the 2026 Lunar New Year. The report says Seed leadership, under Wu Yonghui, set a target to release at least one world model by the end of 2026 and benchmark it against Google's `Genie 3`. 36Kr also describes a 2025 reorganization that folded ByteDance's AI Lab (led by Li Hang) and robotics team into Seed and created a small group exploring vision-language-action (VLA) approaches, while noting that progress on world models has been slower than expected.
ByteDance study finds that asking LMMs questions beats making it transcribe text for long document training
ByteDance Seed shows that a 7B model can answer questions on long, image-heavy documents more reliably than much larger models, even when documents are four times longer than anything it saw during training. Instead of transcribing pages, the model learns by answering questions and finding the right passages on its own.
Seedance 2.0？ByteDance’s Multimodal AI Video Beast Just Hit #2 on Artificial Analysis Arena - IssueWire
Seedance 2.0 just stormed the Artificial Analysis Video Arena with insane multimodal scores — and it’s already changing how creators think about AI video. Here’s what’s confirmed and what still needs real-world testing.
Resources
Product Website
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Documentation
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Blog
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Community Forum
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