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nanxstats · Oct 22, 2024 · 16f6bbd · 16f6bbd
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diff --git a/docs/articles/get-started.md b/docs/articles/get-started.md
@@ -21,10 +21,11 @@ then recover the corresponding topic model through a simple
 transformation. This method was implemented in their R package,
 [fastTopics](https://cran.r-project.org/package=fastTopics).
 
-Building on this theoretical insight, tinytopics adopts a more pragmatic
+Building on this theoretical insight, tinytopics adopts an alternative
 approach by directly solving a sum-to-one constrained neural Poisson
 NMF, optimized using stochastic gradient methods, implemented in
-PyTorch. The benefits of this approach:
+PyTorch. Although this approach may not have the same theoretical
+guarantees, it does have a few potential practical benefits:
 
 - Scalable: Runs efficiently on both CPUs and GPUs and enables
   large-scale topic modeling tasks.

diff --git a/docs/articles/get-started.qmd b/docs/articles/get-started.qmd
@@ -24,10 +24,11 @@ corresponding topic model through a simple transformation.
 This method was implemented in their R package,
 [fastTopics](https://cran.r-project.org/package=fastTopics).
 
-Building on this theoretical insight, tinytopics adopts a more pragmatic
+Building on this theoretical insight, tinytopics adopts an alternative
 approach by directly solving a sum-to-one constrained neural Poisson NMF,
 optimized using stochastic gradient methods, implemented in PyTorch.
-The benefits of this approach:
+Although this approach may not have the same theoretical guarantees,
+it does have a few potential practical benefits:
 
 - Scalable: Runs efficiently on both CPUs and GPUs and enables large-scale
   topic modeling tasks.