Subnet 56
Rayon Labs
The gradients subnet simplifies AI training, making it accessible to all through Bittensor’s decentralised network.
SN56 : Gradients
| Subnet | Description | Category | Company |
|---|---|---|---|
| SN56 : Gradients | On-demand fine-tuning | Model development | Rayon Labs |
With the gradients subnet, they’ve created a platform that makes AI training accessible to everyone, leveraging the power of the Bittensor network. With just a few clicks, anyone regardless of their AI training knowledge can train models on Bittensor. Their platform offers a wide variety of models and datasets, allowing users to easily select and train their AI models, either through a simple user interface or programmatically via their API.
They provide intelligent AI tools that automatically optimise your training process, ensuring the best results with minimal effort. Users can monitor their training progress in great detail through platforms like Weights & Biases and, once ready, deploy their models on Hugging Face. With the ability to fine-tune models using custom data on demand, they’ve made it easier than ever to build, train, and deploy AI models, streamlining the entire process for developers and innovators.
They’ve built a decentralised platform that allows anyone in the world to train AI models on Bittensor, the largest decentralised AI network. With just a few clicks, users can begin training their models, even without any prior AI knowledge. The process is streamlined with a wide selection of models and datasets, enabling users to quickly select the best options for their tasks. Their intelligent AI automatically helps with column mapping for optimal results, or users can make their own selections.
Training can be initiated either via an easy-to-use interface or programmatically using their API. Throughout the process, users can monitor their model’s progress in detail, with advanced tools like Weights & Biases providing deeper insights. Once the model is ready, users can deploy and use it via platforms like Hugging Face. Additionally, the platform allows users to fine-tune models using custom datasets, all on-demand. This makes training and deploying AI models simpler, more efficient, and accessible to everyone.
Namoray – Chief Incentive Mechanism Officer
