Update docs

Author: MalloryWittwer

docs/sections/04_multialgo.ipynb

@@ -80,8 +80,14 @@
     "\n",
     "## Next steps\n",
     "\n",
-    "In the next section, we will explore the concept of streamed inference in Imaging Server Kit."
+    "In the next section, we will explore the concept of *live updates* in Imaging Server Kit."
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57909c69",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {

docs/sections/05_streams.ipynb

@@ -5,9 +5,9 @@
    "id": "9ec31672",
    "metadata": {},
    "source": [
-    "# Streamed inference\n",
+    "# Live updates\n",
     "\n",
-    "Streamed inference allows an algorithm to send **intermediate outputs** to the client application before it has finished running. This makes it possible for user interfaces, such as the Napari Viewer, to update in real time.\n",
+    "Algorithms can send **intermediate outputs** to the client application before they have finished running. This makes it possible for user interfaces, such as the Napari Viewer, to update in real time.\n",
     "\n",
     "For example, you might \"stream\":\n",
     "\n",
@@ -56,7 +56,7 @@
    "id": "c5f4b3d1",
    "metadata": {},
    "source": [
-    "Running this algorithm in Napari results in a \"streamed output\" showcasing a segmentation mask progressively updating as the threshold value increases.\n",
+    "When running this algorithm in Napari, the displayed segmentation mask progressively gets updated as the threshold value increases.\n",
     "\n",
     "<video width=512 controls loop autoplay>\n",
     "  <source src=\"../_static/progressive_threshold.mp4\" type=\"video/mp4\">\n",