docs: `llms/google vertex AI` example update (#9960)

Updated title, description, added sections.
pull/9963/head^2
Bagatur 1 year ago committed by GitHub
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@ -1,17 +1,28 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Google Cloud Platform Vertex AI PaLM \n",
"# Google Vertex AI PaLM \n",
"\n",
"Note: This is seperate from the Google PaLM integration, it exposes [Vertex AI PaLM API](https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview) on Google Cloud. \n",
"\n",
"By default, Google Cloud [does not use](https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_development) Customer Data to train its foundation models as part of Google Cloud`s AI/ML Privacy Commitment. More details about how Google processes data can also be found in [Google's Customer Data Processing Addendum (CDPA)](https://cloud.google.com/terms/data-processing-addendum).\n",
"**Note:** This is seperate from the `Google PaLM` integration, it exposes [Vertex AI PaLM API](https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview) on `Google Cloud`. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setting up"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By default, Google Cloud [does not use](https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_development) customer data to train its foundation models as part of Google Cloud's AI/ML Privacy Commitment. More details about how Google processes data can also be found in [Google's Customer Data Processing Addendum (CDPA)](https://cloud.google.com/terms/data-processing-addendum).\n",
"\n",
"To use Vertex AI PaLM you must have the `google-cloud-aiplatform` Python package installed and either:\n",
"To use `Vertex AI PaLM` you must have the `google-cloud-aiplatform` Python package installed and either:\n",
"- Have credentials configured for your environment (gcloud, workload identity, etc...)\n",
"- Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variable\n",
"\n",
@ -19,8 +30,7 @@
"\n",
"For more information, see: \n",
"- https://cloud.google.com/docs/authentication/application-default-credentials#GAC\n",
"- https://googleapis.dev/python/google-auth/latest/reference/google.auth.html#module-google.auth\n",
"\n"
"- https://googleapis.dev/python/google-auth/latest/reference/google.auth.html#module-google.auth"
]
},
{
@ -40,7 +50,22 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.llms import VertexAI\n",
"from langchain.llms import VertexAI"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Question-answering example"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from langchain import PromptTemplate, LLMChain"
]
},
@ -98,13 +123,21 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"You can now leverage the Codey API for code generation within Vertex AI. The model names are:\n",
"- code-bison: for code suggestion\n",
"- code-gecko: for code completion"
"## Code generation example"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can now leverage the `Codey API` for code generation within `Vertex AI`. \n",
"\n",
"The model names are:\n",
"- `code-bison`: for code suggestion\n",
"- `code-gecko`: for code completion"
]
},
{
@ -191,7 +224,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.12"
},
"vscode": {
"interpreter": {

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