diff --git a/examples/Truncate_prompts_to_context_length.ipynb b/examples/Embedding_long_inputs.ipynb
similarity index 99%
rename from examples/Truncate_prompts_to_context_length.ipynb
rename to examples/Embedding_long_inputs.ipynb
index 1ed48f2..be629d2 100644
--- a/examples/Truncate_prompts_to_context_length.ipynb
+++ b/examples/Embedding_long_inputs.ipynb
@@ -5,7 +5,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Embedding texts that are larger than the model's context length\n",
+    "# Embedding texts that are longer than the model's context length\n",
     "\n",
     "All models have a maximum context length for the input text they take in. However, this maximum length is defined in terms of _tokens_ instead of string length. If you are unfamiliar with tokenization, you can check out the [\"How to count tokens with tiktoken\"](How_to_count_tokens_with_tiktoken.ipynb) notebook in this same cookbook.\n",
     "\n",