Search: "large model zk proofs"
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zkML for Privacy-Preserving LLM Fine-Tuning: Zero-Knowledge Proofs in Federated Pipelines
In the rush to harness large language models for specialized tasks, organizations grapple with a stark reality: fine-tuning these behemoths demands vast troves of sensitive data, often exposing trade secrets, patient records, or...
Scaling zkML Proofs for Large Models Inference Labs Sharding Approach
In the evolving landscape of artificial intelligence, where models balloon to hundreds of billions of parameters, verifying computations without exposing sensitive data emerges as a cornerstone challenge. Inference Labs addresses this...