DecideAI focuses on creating reliable, scalable, and affordable AI models by combining open-source technology with a decentralized training and data ecosystem. Its mission is to let users, contributors, and developers collaboratively build, verify, and improve language models, while keeping data transparent and secure on-chain.
Key features
Decentralized training via Decide Protocol using Reinforcement Learning from Human Feedback (RLHF) to improve model quality and accuracy.
Decide ID for verifying contributors and AI “talent,” helping ensure trustworthy data and high-quality human feedback.
Decide Cortex (coming soon) as an access layer for curated datasets and pre-trained models created through the protocol.
On-chain AI applications like GPT‑2 and Redactor, fully hosted on blockchain infrastructure for transparency, security, and censorship-resistant operation.
Use cases
Teams or startups that want to train specialized LLMs (for niche domains or languages) with transparent, reward-based human feedback.
Organizations needing verifiable contributor identity and data quality when sourcing annotations or AI-related work.
Developers and researchers who want to experiment with fully on-chain models and datasets, or integrate secure, open-source LLMs into dApps.