Update tutorials/docs-10-using-turing-autodiff/autodiff.jmd

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
TuringLang · Dec 13, 2023 · 3f43809 · 3f43809
1 parent fd1231e
commit 3f43809
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/tutorials/docs-10-using-turing-autodiff/autodiff.jmd b/tutorials/docs-10-using-turing-autodiff/autodiff.jmd
@@ -9,7 +9,7 @@ weave_options:
 
 ## Switching AD Modes
 
-Turing currently supports four automatic differentiation (AD) backends for sampling: [ForwardDiff](https://github.com/JuliaDiff/ForwardDiff.jl) for forward-mode AD; and [ReverseDiff](https://github.com/JuliaDiff/ReverseDiff.jl), [Zygote](https://github.com/FluxML/Zygote.jl), and [Tracker](https://github.com/FluxML/Tracker.jl) for reverse-mode AD. 
+Turing currently supports four automatic differentiation (AD) backends for sampling: [ForwardDiff](https://github.com/JuliaDiff/ForwardDiff.jl) for forward-mode AD; and [ReverseDiff](https://github.com/JuliaDiff/ReverseDiff.jl), [Zygote](https://github.com/FluxML/Zygote.jl), and [Tracker](https://github.com/FluxML/Tracker.jl) for reverse-mode AD.
 While `Tracker` is still available, its use is discouraged due to a lack of active maintenance.
 `ForwardDiff` is automatically imported by Turing. To utilize `Zygote` or `ReverseDiff` for AD, users must explicitly import them with `using Zygote` or `using ReverseDiff`, alongside `using Turing`.