Quasar and Gradients Join Forces to Train Long-Context AI Models
Quasar Models announced that its Subnet 56, which is part of the Gradients project, has joined Subnets 24 and 3 to train its long-context AI models on the Bittensor network. Quasar Models And so we have three subnets working together in a common training effort to push decentralized AI forward.
The partnership positions Gradients to play a major role in post-training and reinforcement learning. Such contributions are expected to transform base models into systems that are capable of chatting well, writing code, reasoning about complex problems, and performing better overall.
Background on the major projects
Quasar is Bittensor Subnet 24 and is targeting long context foundation models. It trains and evaluates using a decentralized network of miners, which cuts costs relative to centralized approaches and transcends the constraints on how much context current AI models can handle.
Gradients is Bittensor Subnet 56 — a competitive AutoML platform. Users upload datasets,...
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