ORA opp/ai: combining zkML privacy with opML efficiency
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Summarizes ORA's opp/ai framework, which integrates zkML for privacy and opML for efficiency so on-chain AI services can run ML models with privacy features on Ethereum.
Artificial Intelligence (AI) is one of the major narratives this cycle. 🤖✨
Decentralized, secure, and efficient AI services on built on decentralized, public blockchain networks will reshape the digital world.
However, the computational demands of on-chain AI raise significant privacy and efficiency concerns.
@OraProtocol's Optimistic Privacy-Preserving AI (opp/ai) framework fixes this!
Striking a balance between privacy protection and computational efficiency, the framework integrates:
✦ Zero Knowledge Machine Learning (zkML) for privacy
✦ Optimistic Machine Learning (opML) for efficiency
This hybrid model is optimized to power blockchain-based AI services, effectively enabling Ethereum to run any ML/AI model with privacy features.
Do you understand how big this is, anon? 👀
Check the post below for more details! 👇
QUOTING @OraProtocol
✨ Introducing 𝐨𝐩𝐩/𝐚𝐢, Optimistic Privacy-Preserving AI on blockchain. 🔥 This innovation marks a turning point of onchain AI development, unifying zkML and opML landscapes. ⚡️ opp/ai combines advantages of zkML and opML, representing a leap forward from two approaches.
✨ Introducing 𝐨𝐩𝐩/𝐚𝐢, Optimistic Privacy-Preserving AI on blockchain. 🔥 This innovation marks a turning point of onchain AI development, unifying zkML and opML landscapes. ⚡️ opp/ai combines advantages of zkML and opML, representing a leap forward from two approaches.