From 95425cd8c6f69620b82e253d7726aa17ccb55d3c Mon Sep 17 00:00:00 2001 From: Arnaud Date: Thu, 14 Sep 2023 18:43:47 +0100 Subject: [PATCH] update workshop with new titan embeddings --- 00_Intro/bedrock_boto3_setup.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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",