zkML (Zero-Knowledge Machine Learning)

Zero-Knowledge Machine Learning (zkML) refers to an emerging method in the field of onchain machine learning, integrating the principles of zero-knowledge proofs with ML. Zero-knowledge proofs are cryptographic protocols allowing one party to confirm the truth of a statement to another party without revealing any information beyond the statement's validity. zkML provides a cryptographic certificate verifying an ML model's inference, including details like model size and parameters, ensuring that a prompt has been executed without revealing sensitive data.