# Consensus Algorithms **Purpose** * Ensure integrity and accuracy of AI/ML model architectures post-training. * Use checksum algorithms to verify the authenticity and consistency of the model. **Process** * Upon completion of model training, the Protocol Node initiates a re-validation process. * Utilizes cryptographic checksums to compare the trained model against its original architecture. **Security and Accuracy** * Ensures that the model has not been tampered with or altered unintentionally during training. * Maintains a high standard of model reliability and trustworthiness. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.iagentpro.com/protocol-nodes/consensus-algorithms.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.