What is ByteDance Seed?

Seed is the dedicated AI research team at ByteDance, focused on the long-term goal of building General Artificial Intelligence (AGI). They conduct fundamental research and develop foundational models across various domains like multimodal AI, robotics, vision, and large language models.

What are the main research areas of Seed?

Based on their talent programs, Seed's primary research areas include: Large Models, Machine Learning Systems, Multimodal Generation, Multimodal Understanding, Speech, AI for Science, and Robotics.

Are Seed's models available to the public?

While Seed itself is a research initiative, they contribute to the community by releasing certain models and frameworks as open-source. Examples mentioned on their website include the BAGEL multimodal model and the VeOmni framework for model training.

What is the difference between the Top Seed and Jidouyun talent programs?

According to the FAQ on the Top Seed page, the programs focus on different research directions. Top Seed is for those interested in LLM, speech, vision, world models, AI Infra, and next-gen AI interaction. Jidouyun is for those interested in AI applications, search, recommendation, advertising, privacy & security, and hardware.

How can I apply to the Top Seed program?

The Top Seed talent program is open for applications year-round. Each candidate has one application opportunity per year. The application opportunities for Top Seed and Jidouyun are independent of each other.

Seed by ByteDance | Advanced AI Research & Foundational Models

Seed Overview

Seed is the core AI research team at ByteDance, dedicated to the ambitious goal of building General Artificial Intelligence (AGI). The initiative focuses on developing cutting-edge foundational models that span a wide array of disciplines, including multimodal understanding and generation, computer vision, speech processing, robotics, and Large Language Models (LLMs). Seed's research consistently achieves state-of-the-art (SOTA) performance and is integrated into major ByteDance products such as Feishu (Lark), Volcengine, Coze, and Doubao, demonstrating a clear path from fundamental research to practical application. The team also actively contributes to the wider scientific community by publishing influential papers and releasing open-source models and frameworks.

How to use Seed

As a research initiative, Seed is not a single application for direct public use. Instead, individuals can engage with its work in several ways:

Researchers and Developers: Can explore and build upon Seed's open-source models like BAGEL and frameworks like VeOmni. They can also read and cite the team's published research papers to stay at the forefront of AI advancements.
Students and Academics: Top-tier PhD students and researchers can apply to join the team through specialized talent programs such as 'Top Seed' and 'Seed Edge' to contribute to long-term, fundamental AI challenges.
Industry Professionals: Can follow Seed's announcements and model releases to understand the future direction of AI and how these technologies are being applied in enterprise solutions through platforms like Volcengine.

Core Features of Seed

Multimodal Foundational Models: Development of powerful models like the Seed1.6 series, BAGEL, and Seed3D that seamlessly understand and generate content across text, images, video, and 3D formats.
Advanced Robotics & Reinforcement Learning: Pioneering work such as Seed GR-RL, which enables robots to perform complex, fine-motor tasks like tying shoelaces, breaking new ground in Vision-Language-Action (VLA) models.
High-Fidelity Generative AI: Creation of models like Seedream 4.5 for high-consistency visual art and Seedance 1.0 for generating cinematic, 1080p high-definition videos with strong narrative coherence.
Specialized AI Models: Development of purpose-built models including Seed LiveInterpret 2.0 for real-time, end-to-end simultaneous interpretation and Seed Diffusion Preview for exceptionally fast code generation.
Open-Source Contributions: Commitment to the AI community through the release of open-source frameworks like VeOmni, which simplifies multimodal model training, and models like BAGEL.

Use Cases for Seed

The research and models developed by Seed have broad applicability across various sectors:

Academic Research: Providing state-of-the-art foundational models and benchmarks that push the boundaries of AI for the global research community.
Creative Industries: Powering next-generation creative tools for professional artists, designers, and filmmakers with high-fidelity image and video generation capabilities.
Robotics and Automation: Advancing autonomous systems by enabling robots with sophisticated perception and fine-motor skills for complex manufacturing and real-world interaction.
Software Engineering: Enhancing developer productivity by accelerating code generation, debugging, and software testing with specialized language models.
Global Communication: Breaking down language barriers with real-time, high-quality voice-to-voice translation that functions even in complex, multi-speaker environments.

Advantages of Seed

Cutting-Edge Performance: Consistently achieves and surpasses State-of-the-Art (SOTA) performance across numerous public AI benchmarks.
Multidisciplinary Expertise: Covers a comprehensive spectrum of AI fields, from LLMs and computer vision to robotics and AI for Science, fostering cross-domain innovation.
Proven Real-World Impact: Research is not purely theoretical; it is actively integrated into major ByteDance products used by millions.
Commitment to Open Science: Fosters collaboration and accelerates innovation by contributing valuable models and frameworks to the open-source community.
Long-Term Vision: Dedicated programs like Seed Edge support fundamental, long-term research, demonstrating a serious commitment to solving the grand challenges of AGI.

Seed FAQ

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