Bagel: Revolutionizing Open-Source AI Development
Bagel is an innovative AI model architecture that changes the way open-source AI is developed. It allows anyone to contribute freely while ensuring that contributors receive credit and revenue for their work. By combining advanced cryptography with machine learning, Bagel creates a secure and collaborative environment for AI development. Their first platform, Bakery, enables developers to fine-tune AI models without risking the privacy of their proprietary information.
Origin and Vision
The concept of Bagel was created by Bidhan Roy, an expert in engineering and machine learning. He has worked on major AI projects at companies like Amazon, Cash App, and Instacart. Understanding the challenges of open-source AI, Roy aimed to create a system that allows contributors to earn from their work. His knowledge of cryptography helped shape Bagel’s approach to secure AI development.
Core Value Proposition
Bagel is built on three main principles:
- Attribution: Every contribution is tracked and credited using a unique method called ZKLoRA, ensuring transparency and accountability.
- Ownership: Contributors maintain ownership of their work through privacy-protecting technology, removing the need for complex licensing.
- Privacy: Secure model encapsulation safeguards sensitive information, preventing unauthorized access.
Key Innovations of Bagel
- Permissionless Contributions: Developers can contribute to AI models without needing prior approval, fostering a more inclusive environment.
- Revenue Attribution: The platform fairly distributes earnings to all contributors based on their input, tracked through cryptographic methods.
- Cryptography Meets Machine Learning: Bagel combines advanced cryptographic techniques with machine learning for enhanced security and efficiency.
Introducing ZKLoRA
The latest research from Bagel focuses on ZKLoRA, a zero-knowledge protocol that enables secure verification of Low-Rank Adaptation (LoRA) updates in distributed training settings. This method allows contributors to update AI models without revealing sensitive information.
ZKLoRA streamlines the verification process, ensuring that updates are compatible with the base model while protecting proprietary data. This innovative solution reduces the time needed for verification to just 1–2 seconds per module, making it efficient for large-scale applications.
Benefits of ZKLoRA
- Fast verification times, even for large models with billions of parameters.
- Scalable performance with manageable verification and proof generation times.
- Enhanced security for proprietary updates and models.
- Supports collaboration among distributed teams without compromising data integrity.
Conclusion
Bagel is transforming decentralized AI development through its Bakery platform and the ZKLoRA protocol. These innovations address key challenges in AI fine-tuning while ensuring contributors can monetize their efforts effectively. With rapid verification times and strong security measures, Bagel is setting the stage for a new era in open-source AI development.
For companies looking to leverage AI, consider these steps:
- Identify Automation Opportunities: Find areas in customer interactions that can benefit from AI.
- Define KPIs: Establish measurable goals for your AI initiatives.
- Select an AI Solution: Choose tools that fit your specific needs.
- Implement Gradually: Start small, gather data, and expand your AI usage wisely.
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