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 [AdvancedVI](https://github.com/TuringLang/AdvancedVI.jl) provides implementations of variational inference (VI) algorithms.
 VI algorithms perform scalable and computationally efficient Bayesian inference at the cost of asymptotic exactness.
 `AdvancedVI` is part of the [Turing](https://turinglang.org/stable/) probabilistic programming ecosystem.
-The purpose of this package is to provide a common accessible interface for various VI algorithms and utilities so that other packages, e.g. `Turing`, only need to write a light wrapper for integration. 
+This package provides a common accessible interface for various VI algorithms and utilities so that other packages, e.g. `Turing`, only need to write a light wrapper for integration. 
 For example, `Turing` combines `Turing.Model`s with `AdvancedVI.ADVI` and [`Bijectors`](https://github.com/TuringLang/Bijectors.jl) by simply converting a `Turing.Model` into a [`LogDensityProblem`](https://github.com/tpapp/LogDensityProblems.jl) and extracting a corresponding `Bijectors.bijector`.
 
 ## Examples