Mira Network, a leader in decentralized AI infrastructure, has launched its testnet alongside a new suite of APIs. This milestone brings significant advancements in the safety and efficiency of on-chain autonomous AI-driven transactions. With over 500,000 users and prominent clients like Delphi Digital, the launch provides developers and enterprises with access to Mira’s cutting-edge AI technology.
1. Mira’s Testnet and API Launch
- Introduction of a next-generation suite of APIs, including Generate, Verify, and Verified Generate.
- Focus on increasing reliability and affordability in AI outputs.
- Aimed at securing autonomous AI-driven transactions with decentralized, trustless verification.
2. Tackling AI Challenges: Hallucinations and Bias
- Large language models (LLMs) and generative AI tools often face challenges like hallucinations and bias.
- Mira Network addresses these challenges using a novel distributed consensus verification framework.
- Multiple AI models (GPT-4o, Llama 3.1 405B, Claude 3.5 Sonnet) independently validate outputs, ensuring accuracy and reducing bias.
3. Research Milestones and Advancements
- Achieved over a 90% reduction in error rates for complex reasoning tasks.
- AI outputs are turned into discrete, verifiable claims, enhancing trustworthiness.
- Innovative sharding mechanism for parallel processing ensures high throughput, low latency, and privacy.
4. Mira’s Vision for the Future of AI
- Mira’s CEO, Karan Sirdesai, emphasizes the transformative potential of this testnet launch for AI-driven applications.
- The focus on trustless verification paves the way for scalable, secure, and transparent AI systems.
- Mira is committed to reshaping how AI systems are built, deployed, and trusted in industries worldwide.
Mira Network’s testnet and its API suite introduce a revolutionary approach to decentralized AI infrastructure. By addressing AI hallucinations and biases, Mira is setting the stage for more reliable and trustworthy AI-driven transactions. With scalable, secure solutions, Mira is poised to redefine how AI systems will operate and be trusted in the future.
