> For the complete documentation index, see [llms.txt](https://docs.zerowave.my.id/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zerowave.my.id/mainnet/bittensor/subnet-15-de-val.md).

# Subnet 15 - De-Val

## What is De-Val?

Pioneering for the **decentralized evaluation of large language models (LLMs)**. It aims to provide objective, community-driven assessments of LLM outputs, focusing on areas like **hallucination detection**, **misattribution correction**, **summary completeness**, and **relevancy**.

De-Val's miners process evaluation queries by assessing the quality and accuracy of LLM responses, while validators ensure the reliability of these evaluations by comparing them against real-world data and set benchmarks. The subnet offers businesses cost-effective solutions to optimize their AI models through pay-per-query APIs or subscription models. Its roadmap includes expanding capabilities with new evaluation metrics, enhancing API features, and building partnerships​

This subnet addresses key challenges in AI, such as detecting nonsensical outputs and ensuring accurate content generation, making it a valuable tool for improving AI-driven applications.


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