Search: "zkml inference tutorial"
4 results found
EZKL zkML Tutorial: Proving PyTorch Model Inference with Zero-Knowledge Proofs
Imagine unleashing your PyTorch models into the wild world of zero-knowledge machine learning where privacy reigns supreme and verification hits like a thunderbolt. EZKL zkML flips the script on traditional inference, letting you prove...
EZKL zkML Tutorial: Verifiable On-Chain ML Inference for Subjective Event Resolution
In the wild world of blockchain, resolving subjective events - think 'Did this team really dominate that match?' or 'Is this market sentiment bullish enough?' - has always been a headache. Traditional oracles handle binary outcomes fine,...
EZKL zkML Tutorial: Proving PyTorch Model Inference with Zero-Knowledge SNARKs
Picture this: you're running a PyTorch model in production, crunching sensitive data, and you need to prove to the world - or at least your Ethereum L2 dApp - that the inference happened exactly as claimed, without leaking a single input...
zkML Model Slicing Tutorial: Deploy Bittensor Circuits with Inference Labs DSperse SDK
Imagine slicing up massive neural networks like a crypto trader carving out alpha from volatile markets- fast, precise, and verifiable. That's the raw power of zkML model slicing with Inference Labs' DSperse SDK. We're talking Bittensor...