# Built-in Models In 2PM.Network, the process of defining a Fully Homomorphic Encryption (FHE) Machine Learning computation task aligns with the ZAMA Concrete ML. Once defined, the computation task can be dispatched to nodes for processing via the Node API. This integration streamlines the workflow, ensuring a seamless transition from task creation to execution within the 2PM.Network environment. For how to define a task to train built-in Models, please refer to ZAMA Concrete ML Docs:


Linear models			https://docs.zama.ai/concrete-ml/built-in-models/linear
Tree-based models			https://docs.zama.ai/concrete-ml/built-in-models/tree
Neural networks			https://docs.zama.ai/concrete-ml/built-in-models/neural-networks
Nearest neighbors			https://docs.zama.ai/concrete-ml/built-in-models/nearest-neighbors

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