xiaohei/model_garden
1
0
Fork 0
mirror of https://github.com/GoogleCloudPlatform/vertex-ai-samples.git synced 2026-09-26 14:42:04 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fixed incorrect text (#1886)

Browse Source 
Co-authored-by: ivanmkc@google.com <ivanmkc@google.com>
This commit is contained in:
Ivan Cheung
2023-05-12 23:56:48 +00:00
committed by GitHub
co-authored by ivanmkc@google.com <ivanmkc@google.com>
parent 9ba17b5227
commit 2303f110da
1 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
notebooks/official/matching_engine/sdk_matching_engine_create_stack_overflow_embeddings_vertex.ipynb
+4 -3
View File
@@ -30,7 +30,7 @@
"id": "JAPoU8Sm5E6e"
},
"source": [
"# Using Vertex AI Matching Engine for StackOverflow Questions\n",
"# Using Vertex AI Matching Engine and Vertex AI Embeddings for Text for StackOverflow Questions \n",
"![ ](https://www.google-analytics.com/collect?v=2&tid=G-L6X3ECH596&cid=1&en=page_view&sid=1&dt=sdk_matching_engine_create_stack_overflow_embeddings_vertex.ipynb&dl=notebooks%2Fofficial%2Fmatching_engine%2Fsdk_matching_engine_create_stack_overflow_embeddings_vertex.ipynb)\n",
"<table align=\"left\">\n",
" <td>\n",
@@ -62,9 +62,9 @@
"source": [
"## Overview\n",
"\n",
"This example demonstrates how to encode custom text embeddings using the StackOverflow dataset and the sentence-T5 model. These are uploaded to the Vertex AI Matching Engine service, which is a high-scale, low-latency solution, for finding similar vectors from a large corpus. Matching Engine is a fully managed offering, further reducing operational overhead. It is built upon [Approximate Nearest Neighbor (ANN) technology](https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html) developed by Google Research.\n",
"This example demonstrates how to encode text embeddings using the Vertex AI Embeddings for Text service and the StackOverflow dataset. These are uploaded to the Vertex AI Matching Engine service, which is a high-scale, low-latency solution, for finding similar vectors from a large corpus. Matching Engine is a fully managed offering, further reducing operational overhead. It is built upon [Approximate Nearest Neighbor (ANN) technology](https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html) developed by Google Research.\n",
"\n",
"Learn more about [Vertex AI Matching Engine](https://cloud.google.com/vertex-ai/docs/matching-engine/overview)."
"Learn more about [Vertex AI Matching Engine](https://cloud.google.com/vertex-ai/docs/matching-engine/overview) and [Vertex AI Embeddings for Text](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings)."
]
},
{
@@ -81,6 +81,7 @@
"This tutorial uses the following Google Cloud ML services:\n",
"\n",
"- `Vertex AI Matching Engine`\n",
"- `Vertex AI Embeddings for Text`\n",
"\n",
"The steps performed include:\n",
"\n",