diff --git a/docs/en/datasets/segment/index.md b/docs/en/datasets/segment/index.md
index 9da781a91..e3856688f 100644
--- a/docs/en/datasets/segment/index.md
+++ b/docs/en/datasets/segment/index.md
@@ -138,8 +138,6 @@ To auto-annotate your dataset using the Ultralytics framework, you can use the `
         auto_annotate(data="path/to/images", det_model="yolov8x.pt", sam_model="sam_b.pt")
         ```
 
-Certainly, here is the table updated with code snippets:
-
 | Argument     | Type                    | Description                                                                                                 | Default        |
 |--------------|-------------------------|-------------------------------------------------------------------------------------------------------------|----------------|
 | `data`       | `str`                   | Path to a folder containing images to be annotated.                                                         | `None`         |
diff --git a/docs/en/guides/conda-quickstart.md b/docs/en/guides/conda-quickstart.md
index 6a7f7b4ce..ff23dde8a 100644
--- a/docs/en/guides/conda-quickstart.md
+++ b/docs/en/guides/conda-quickstart.md
@@ -102,12 +102,6 @@ sudo docker run -it --ipc=host --gpus all $t  # all GPUs
 sudo docker run -it --ipc=host --gpus '"device=2,3"' $t  # specify GPUs
 ```
 
----
-
-Certainly, you can include the following section in your Conda guide to inform users about speeding up installation using `libmamba`:
-
----
-
 ## Speeding Up Installation with Libmamba
 
 If you're looking to [speed up the package installation](https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community) process in Conda, you can opt to use `libmamba`, a fast, cross-platform, and dependency-aware package manager that serves as an alternative solver to Conda's default.