ByteDance AI

ByteDance AI develops cutting-edge multimodal foundation models—including text, image, video, code, and speech generation—powering the next generation of intelligent creativity and content innovation.

ByteDance AI Models – Frequently Asked Questions

“This FAQ covers common questions about ByteDance’s AI model offerings, usage, and integration. For details and to try models, users may follow links to our model pages on story321.com.”

“What is ByteDance’s AI / Seed team, and what kinds of models do they build?”

“ByteDance’s Seed team (founded in 2023) focuses on foundational AI research across multimodal domains including vision, language, audio, code, and video. :contentReference[oaicite:0]{index=0}”

“Which models from ByteDance are currently available?”

Some representative models include: • Seed1.5-VL: a vision-language foundation model for multimodal understanding and reasoning :contentReference[oaicite:1]{index=1} • Seedream 3.0: a bilingual image generation foundational model (Chinese / English) :contentReference[oaicite:2]{index=2} • Seedance 1.0: a video generation model supporting multi-shot text-to-video and image-to-video generation :contentReference[oaicite:3]{index=3} • BAGEL (7B / 14B): unified multimodal model (image generation, image editing, and image understanding) :contentReference[oaicite:4]{index=4} • Seed Coder: open-source code models optimized for coding tasks (8B) :contentReference[oaicite:5]{index=5} • Seed-Thinking v1.5: a reasoning-oriented model using reinforcement learning and mixture-of-experts techniques :contentReference[oaicite:6]{index=6} • Seed-TTS: generative text-to-speech models with high quality and controllability :contentReference[oaicite:7]{index=7}

“How are ByteDance’s models trained and improved?”

“ByteDance uses automated training techniques combined with human supervision, feedback loops, and safety alignment processes to ensure models’ performance and robustness. :contentReference[oaicite:8]{index=8}”

“What are the output modalities and use cases for these models?”

ByteDance’s models support a wide range of modalities: • Vision & Vision-Language (e.g. Seed1.5-VL) • Image generation, editing, and understanding (e.g. BAGEL, Seedream) • Video generation (e.g. Seedance) • Coding and reasoning tasks (e.g. Seed Coder, Seed-Thinking) • Speech generation and TTS (Seed-TTS) Typical use cases include content generation, multimodal assistants, creative media, code assistance, and more.

“Are ByteDance’s models open-source or proprietary?”

“It depends on the specific model. Some models like BAGEL and parts of Seed Coder are released as open-source or public under permissive licenses. Others (e.g. large video generation models) may be proprietary or restricted. :contentReference[oaicite:9]{index=9}”

“What are limitations, risks, or restrictions of using these models?”

Users should be aware of: • Ethical and safety constraints: content moderation, misuse risks (e.g. deepfakes) • Intellectual property and copyright issues • Computational and cost constraints (e.g. inference resources, latency) • Licensing, usage quotas, or regional restrictions

“How can I get support or report issues with a ByteDance model?”

“For model-specific support or bug reports, please refer to the support or issue tracker link provided on each model’s page on story321.com. We also encourage feedback (e.g., misgeneration, alignment issues) via our user feedback channel.”

“Where can I see and try ByteDance’s models on story321.com?”

“On this supplier’s page, we list the available ByteDance models with links. Click a model name to go to its dedicated model page on story321.com, where you can view details, documentation, and initiate usage (e.g. via inference interface or API).”