diff --git a/website/docs/api/large-language-models.mdx b/website/docs/api/large-language-models.mdx
index 8eae0c7cf..72c15c34f 100644
--- a/website/docs/api/large-language-models.mdx
+++ b/website/docs/api/large-language-models.mdx
@@ -19,14 +19,8 @@ prototyping** and **prompting**, and turning unstructured responses into
 An LLM component is implemented through the `LLMWrapper` class. It is accessible
 through a generic `llm`
 [component factory](https://spacy.io/usage/processing-pipelines#custom-components-factories)
-as well as through task-specific component factories:
-
-- `llm_ner`
-- `llm_spancat`
-- `llm_rel`
-- `llm_textcat`
-- `llm_sentiment`
-- `llm_summarization`
+as well as through task-specific component factories: `llm_ner`, `llm_spancat`, `llm_rel`,
+`llm_textcat`, `llm_sentiment` and `llm_summarization`.
 
 ### LLMWrapper.\_\_init\_\_ {id="init",tag="method"}