đŻ HOW MIRA TOKEN SOLVES AI HALLUCINATIONS
INTRODUCTION
AI hallucination is a bottleneck problem in Blockchain technology and Protocols leading to fake or faulty statistics, events or research etc.
đ WHAT IS AI HALLUCINATION?
AI hallucination is AI systems generating or predicting outputs based on patterns rather than verified facts, resulting in inaccurate, false, fabricated data.
đ PROBLEMS OF AI HALLUCINATION?
It might create misinformation or misleading advice / data resulting in real harm/loss.
It might cause loss of trust in users, legal and financial losses, serious consequences in health care services etc.
đ· HOW DOES MIRA SOLVES IT?
đșMIRA breaks an AI output into individual factual claims / statements & sends them to a network of multiple models. Output is only accepted if a CONSENSUS of verifiers is achieved. So consensus mechanisms of independent models provide accurate & verified data / result.
đșIt has a unique transparency mechanism, as verification results are recorded on a Blockchain, making them auditable / verifiable and also tamper-proof.
đ So, MIRA doesn't fix AI hallucinations inside the AI model itself, but it verifies AI outputs with its Decentralized Multi-model Consensus mechanism, backed by Blockchain technology. The system instantly catches hallucinated, false and inaccurate claims. Users get accurate and verified data or results.
$MIRA #Mira @Mira - Trust Layer of AI
INTRODUCTION
AI hallucination is a bottleneck problem in Blockchain technology and Protocols leading to fake or faulty statistics, events or research etc.
đ WHAT IS AI HALLUCINATION?
AI hallucination is AI systems generating or predicting outputs based on patterns rather than verified facts, resulting in inaccurate, false, fabricated data.
đ PROBLEMS OF AI HALLUCINATION?
It might create misinformation or misleading advice / data resulting in real harm/loss.
It might cause loss of trust in users, legal and financial losses, serious consequences in health care services etc.
đ· HOW DOES MIRA SOLVES IT?
đșMIRA breaks an AI output into individual factual claims / statements & sends them to a network of multiple models. Output is only accepted if a CONSENSUS of verifiers is achieved. So consensus mechanisms of independent models provide accurate & verified data / result.
đșIt has a unique transparency mechanism, as verification results are recorded on a Blockchain, making them auditable / verifiable and also tamper-proof.
đ So, MIRA doesn't fix AI hallucinations inside the AI model itself, but it verifies AI outputs with its Decentralized Multi-model Consensus mechanism, backed by Blockchain technology. The system instantly catches hallucinated, false and inaccurate claims. Users get accurate and verified data or results.
$MIRA #Mira @Mira - Trust Layer of AI
