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SYSTEM PROCESSING...
Posted: 2025-08-12 08:48:21 UTC
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-08-12 08:48:37 UTC
Verified By
Rollup News
zkGPT introduces a novel approach to proving LLM inference using Zero-Knowledge Proofs, addressing the issue of service providers potentially using smaller models than promised. It achieves significant speed improvements over existing zkML systems by optimizing both linear and nonlinear layers, constraint fusion, and circuit squeezing, enabling practical zkLLM deployment with cryptographic auditability.
Verifiable LLM inference
Efficient Zero-Knowledge Proofs for LLMs
Privacy-preserving AI services
Cryptographic auditability
Providers potentially using smaller models than promised
Users unable to verify which model was used
Existing zkML systems being too slow for real LLMs
Massive nonlinear layer overhead and poor parallelization in previous approaches