Viz: QLoRA-based Copyright Marketplace
Mar 10, 2024
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1 min read
Viz introduces a novel marketplace framework that addresses copyright concerns in generative AI by leveraging QLoRA (Quantized Low-Rank Adaptation) techniques to create legally compliant AI models.
The Challenge
Generative AI models trained on copyrighted content raise significant legal and ethical questions. Content creators deserve fair compensation, while AI developers need access to quality training data. Traditional approaches struggle to balance these competing interests.
Our Solution
Viz proposes a marketplace framework where:
- Copyright Holders can license their content for AI training with proper attribution and compensation
- AI Developers can access legally compliant training data and fine-tuning capabilities
- QLoRA Technology enables efficient model adaptation while respecting copyright boundaries
- Transparent Tracking ensures proper attribution and royalty distribution
Key Features
- Legal Compliance: Built-in mechanisms to ensure all training data is properly licensed
- Efficient Fine-Tuning: Uses QLoRA for parameter-efficient model adaptation
- Fair Compensation: Automated royalty distribution to content creators
- Verifiable Provenance: Blockchain-based tracking of content usage and model lineage
Impact
This framework aims to create a sustainable ecosystem for generative AI that respects intellectual property rights while fostering innovation and enabling creators to monetize their work in the AI era.
