# 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.