diff --git a/00_Intro/bedrock_boto3_setup.ipynb b/00_Intro/bedrock_boto3_setup.ipynb
index 5c2f8709..2039c802 100644
--- a/00_Intro/bedrock_boto3_setup.ipynb
+++ b/00_Intro/bedrock_boto3_setup.ipynb
@@ -635,7 +635,7 @@
     "Bedrock currently offers Titan Embeddings for text embedding that supports text similarity (finding the \n",
     "semantic similarity between bodies of text) and text retrieval (such as search).\n",
     "\n",
-    "At the time of writing you can use `amazon.titan-embed-g1-text-02` as embedding model via the API. The input text size is 512 tokens and the output vector length is 4096.\n",
+    "At the time of writing you can use `amazon.titan-embed-g1-text-02` as embedding model via the API. The input text size is 8192 tokens and the output vector length is 1536.\n",
     "\n",
     "To use a text embeddings model, use the InvokeModel API operation or the Python SDK.\n",
     "Use InvokeModel to retrieve the vector representation of the input text from the specified model.\n",