Problems Mira Solves
Large language models and other AI systems excel at generating plausible responses, but they frequently produce hallucinations (fabricated data) . These errors stem from the probabilistic nature of neural networks and the inherent trade-off between precision and accuracy in training data. Mira tackles this by creating a decentralized network where AI outputs are broken down into verifiable claims and checked by multiple independent models through consensus mechanisms.