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Finetuning
Subnet ID: 37
Coldkey:5DXqqdrvu5FK3dASRVTCdGPZKx4Q9nkAZZSmibKG6PEEeW4j
Text Processing and NLPGeneral AI and Multimodal
The Finetuning subnet 37 rewards miners for fine-tuning Large Language Models (LLMs). At launch the first competition is evaluated with data generated from a continuous stream of synthetic data provided by subnet 18. It is a continuous fine-tuning benchmark, with new data generated daily.
Price
Validators
7
Emission
0.29%
Miners
3
GitHub Contribution Activity
854 contributions in the last year
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Yuma Pulse™
Key Features
Model Optimization
Enables decentralized fine-tuning of AI models for specific tasks.
Task-Specific Training
Miners adapt models to niche applications.
Performance Validation
Validators assess fine-tuned model accuracy.
Custom AI Solutions
Delivers tailored AI for diverse use cases.