Add and link bonus material (#84)

ch02/02_bonus_bytepair-encoder/compare-bpe-tiktoken.ipynb

@@ -29,12 +29,23 @@
     "# pip install -r requirements-extra.txt"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "737c59bb-5922-46fc-a787-1369d70925b4",
+   "metadata": {},
+   "source": [
+    "# Comparing Various Byte Pair Encoding (BPE) Implementations"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "a9adc3bf-353c-411e-a471-0e92786e7103",
    "metadata": {},
    "source": [
-    "# Using BytePair encodding from `tiktoken`"
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
+    "## Using BPE from `tiktoken`"
    ]
   },
   {
@@ -134,7 +145,10 @@
    "id": "6a0b5d4f-2af9-40de-828c-063c4243e771",
    "metadata": {},
    "source": [
-    "# Using the original Byte-pair encoding implementation used in GPT-2"
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
+    "## Using the original BPE implementation used in GPT-2"
    ]
   },
   {
@@ -221,7 +235,10 @@
    "id": "4f63e8c6-707c-4d66-bcf8-dd790647cc86",
    "metadata": {},
    "source": [
-    "# Using the BytePair Tokenizer in Hugging Face transformers"
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
+    "## Using the BPE via Hugging Face transformers"
    ]
   },
   {
@@ -356,7 +373,10 @@
    "id": "907a1ade-3401-4f2e-9017-7f58a60cbd98",
    "metadata": {},
    "source": [
-    "# A quick performance benchmark"
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
+    "## A quick performance benchmark"
    ]
   },
   {
@@ -466,7 +486,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

ch02/03_bonus_embedding-vs-matmul/embeddings-and-linear-layers.ipynb

@@ -5,7 +5,7 @@
    "id": "063850ab-22b0-4838-b53a-9bb11757d9d0",
    "metadata": {},
    "source": [
-    "# Embedding Layers and Linear Layers"
+    "# Understanding the Difference Between Embedding Layers and Linear Layers"
    ]
   },
   {
@@ -42,6 +42,9 @@
    "id": "a7895a66-7f69-4f62-9361-5c9da2eb76ef",
    "metadata": {},
    "source": [
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
     "## Using nn.Embedding"
    ]
   },
@@ -260,6 +263,9 @@
    "id": "f0fe863b-d6a3-48f3-ace5-09ecd0eb7b59",
    "metadata": {},
    "source": [
+    "<br>\n",
+    "&nbsp;\n",
+    "\n",
     "## Using nn.Linear"
    ]
   },
@@ -471,7 +477,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,