Numerical Partial Differential Equation (PDE) solversoften require discretizing the physical domain by using a mesh.

Despite these achievements, LLMs often underperform in domain-specific tasks without training on relevant domain data.

The rectified linear unit (ReLU) [Fukushima, 1980, Nair and Hinton, 2010] activation has been by far the most widely used nonlinearity and successful building block in deep neural networks (DNNs).

Note, an end-user would not need to write any code to achieve this.