August 15th -
September 30th, 2024
September 30th, 2024
Creative AI Challenge
Coming Soon
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Participants will leverage AI to design creative visual arts or build complex systems and tools that power AI applications.
Target Participants:
- Students
- Entrepreneurs
- Developers
- Builders
Challenge Focus:
- Building complex systems and tools that enhance AI applications
- Leveraging AI for designing creative visual arts (e.g., image creation)
Challenge Tracks
Participants can choose from three distinct tracks (1 – 3), each designed to challenge different skill levels and areas of expertise.
1. Image-Video Generation: Storytelling with AI
Use AI to create compelling stories through images and videos
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This track focuses on using AI to create compelling and engaging stories through images and videos. Participants will explore AI tools and techniques to generate visuals that can tell a story or convey a message creatively. Ideal for those interested in content creation, filmmaking, and digital storytelling, this track encourages innovative approaches to visual art. Participants may also extend the provided open-source project to enable their desired functionality.
- Target: Creatives and entrepreneurs
- Open-source project. Hyper-SD, SDX-Lightening, or AnimatedDiff-Lightening
- Level: Beginner
- Award. $
2. 3D Generation for Game Developers, Filmmakers, or Digital Artists
Utilize AI to create 3D content for games, films, or digital art
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This track is designed for participants with a background in 3D modeling and animation. It challenges them to use AI to create three-dimensional content for games, films, or digital art projects. Whether it's creating lifelike characters, detailed environments, or dynamic animations, this track aims to push the boundaries of what can be achieved with AI in 3D generation. Participants may extend the provided open-source project to enable their desired functionality.
- Target: Digital artists/developers
- Open-source project: MagicBoost
- Level: Intermediate
- Award. $$
3. Advanced AI or Systems Optimization
Improve LLM software frameworks or optimize systems for better performance
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This track is for experienced developers or machine learning engineers who are ready to tackle complex AI challenges. Participants may either focus on optimizing and improving PyTorch-based large language model (LLM) parallel frameworks supporting multi-card parallel training or focus on improving an end-to-end model compile solution including compiler, runtime, and frontend. This track aims to foster greater innovations in the field. Participants should have a deep understanding of LLMs and/or AI systems software stack.
- Target: Skilled developers
- Open-source project: ByteIR or VeScale
- Level: Advanced
- Award. $$$
Support Activities
- There will be webinars, workshops, and Q&A sessions to assist participants throughout the challenge.
How to Participate
- All projects must leverage and hack with the indicated ByteDance Open-source project
- Submit your results on or before September 30, 2024 submission deadline
- Participate in support activities (webinars and mentor Q/A sessions) to enhance your project
- Polish and present your final project for a chance to win awards
Timeline
August 15, 2024
Application Opens
September 30, 2024
Submission Window Closes
October 2024
Notification of Shortlisted Candidates
November 2024
Presentations
Contact Information
For any inquiries or further information, please email us. Join us in revolutionizing the future with quantum computing and AI. Apply now and be part of the change!