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Update tutorials/docs-10-using-turing-autodiff/autodiff.jmd
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sunxd3 authored Dec 18, 2023
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Expand Up @@ -31,7 +31,7 @@ And the previously used interface functions including `ADBackend`, `setadbackend

## Compositional Sampling with Differing AD Modes

Turing supports intermixed automatic differentiation methods for different variable spaces. The snippet below shows using `ForwardDiff` to sample the mean (`m`) parameter, and using `ReverseDiff` for the variance (`s`) parameter:
Turing supports intermixed automatic differentiation methods for different variable spaces. The snippet below shows using `ForwardDiff` to sample the mean (`m`) parameter, and using `ReverseDiff` for the variance (`s`) parameter:

```julia
using Turing
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