Tensorplex has designed the Dojo Subnet with robust, innovative features to ensure data quality and integrity in a decentralized ecosystem.

Key Features

Dojo offers several powerful mechanisms to maintain high standards:

• Synthetic Task Generation: Leveraging advanced Large Language Models (LLMs), Dojo generates unique tasks to gather human feedback data, which can refine open-source models.
• Synthetic Ground Truth Validation: Validators can synthetically generate partial ground truths to assess participant responses accurately, ensuring response quality.
• Obfuscation: Dojo incorporates obfuscation techniques to safeguard against sybil attacks and verify that contributions come from genuine human users.

Use Cases

The Dojo Subnet opens up a variety of applications:

• Synthetically Generated Tasks: These tasks provide a starting point for human participants and can be applied directly to model training and fine-tuning.
• Cross-subnet Validation: Validators assess response quality across other Bittensor subnets, motivating miners to enhance their outputs.
• External Data Acquisition: Entities outside of Bittensor can access Dojo’s high-quality human-generated data, allowing a broader user base to benefit from the subnet.

Through Dojo, they’re building a platform that tackles quality control, human verification, and sybil protection, driving more equitable AI development.

Participant Benefits

Dojo provides key advantages for those who contribute data through the subnet:

• Open Platform: Dojo is accessible to anyone capable of contributing, enabling wide participation and rich data diversity.
• Flexible Work Environment: Participants can complete tasks from anywhere, working at their convenience.
• Prompt Payment: Participants are consistently rewarded upon completing tasks within deadlines, provided the work is accepted by the subnet.

Subnet Mechanism

Miners’ Role

Miners in Dojo are tasked with gathering participants to complete tasks. They must curate pools of participants who are skilled in specific domains to excel.

Validators’ Role
Validators act as Instructors, Augmenters, Output Generators, and Obfuscators during task generation. They also manage scoring, set rewards, and establish trust levels for miners, ensuring system integrity and reward fairness.