diff --git a/examples/Visualizing_embeddings_in_W&B.ipynb b/examples/Visualizing_embeddings_in_W&B.ipynb
index 3b11325..0056ffe 100644
--- a/examples/Visualizing_embeddings_in_W&B.ipynb
+++ b/examples/Visualizing_embeddings_in_W&B.ipynb
@@ -9,6 +9,16 @@
     "We will upload the data to [Weights & Biases](http://wandb.ai) and use an [Embedding Projector](https://docs.wandb.ai/ref/app/features/panels/weave/embedding-projector) to visualize the embeddings using common dimension reduction algorithms like PCA, UMAP, and t-SNE. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb)."
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What is Weights & Biases?\n",
+    "\n",
+    "[Weights & Biases](http://wandb.ai) is a machine learning platform used by OpenAI and other top ML teams to build better models faster. They use it to quickly track experiments, evaluate model performance, reproduce models, visualize results, and share findings with colleagues."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},