diff --git a/10_intro_julia.ipynb b/10_intro_julia.ipynb
index c2bbdd4..353bbbb 100644
--- a/10_intro_julia.ipynb
+++ b/10_intro_julia.ipynb
@@ -815,12 +815,12 @@
      "id": {
       "block": "YGbd9s4sS5lt5mBitmkJ",
       "project": "4qWjnDwuuPUd70Df3LsC",
-      "version": 1
+      "version": 2
      }
     }
    },
    "source": [
-    "The core design to make Julia fast is type-stability through specialization via multiple-dispatch. A single function in Julia can take different types of input and compile the function in specialized ways. This \"specialization\" brings huge performance gains to Julia. Let's first go over a simple example, namely scalar multiplication, and use the macro `@code_llvm` to check what Julia compiles it to  (LLVM is a type of portable assembly language)."
+    "The core design to make Julia fast is type-stability through specialization via multiple-dispatch. A single function in Julia can take different types of input and compile the function in specialized ways. This \"specialization\" brings huge performance gains to Julia. Let's first go over a simple example, namely scalar multiplication, and use the macro `@which` to check the method being used"
    ]
   },
   {
@@ -866,12 +866,12 @@
      "id": {
       "block": "rRJvyj4tLEoUJ4PPgVCr",
       "project": "4qWjnDwuuPUd70Df3LsC",
-      "version": 1
+      "version": 2
      }
     }
    },
    "source": [
-    "In this example, we want to compute the multiplication of 2 integers. As we can see, the underlying assembly code is running the multiplication of integers."
+    "In this example, we want to compute the multiplication of 2 integers. As we can see, the underlying method is running the multiplication of integers."
    ]
   },
   {
@@ -917,12 +917,12 @@
      "id": {
       "block": "2T7liWcDr9NnK9O1YPKi",
       "project": "4qWjnDwuuPUd70Df3LsC",
-      "version": 1
+      "version": 2
      }
     }
    },
    "source": [
-    "If we multiply 2 floating point numbers, we can see that a different (specialized) assembly code is used, which is designed specifically for the type `double` (`Float64` in Julia)."
+    "If we multiply 2 floating point numbers, we can see that a different method is used, which is designed specifically for the type `double` (`Float64` in Julia)."
    ]
   },
   {
@@ -1768,7 +1768,7 @@
    "id": {
     "block": "75XEhpExCShLZopzZkJe",
     "project": "4qWjnDwuuPUd70Df3LsC",
-    "version": 5
+    "version": 6
    }
   },
   "kernelspec": {