Optimize prompts for text generation with Vertex AI
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This sample demonstrates how to use the Vertex AI Prompt Optimizer to optimize prompts for a text generation model.
Code sample
Python
Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.
To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.
fromgoogle.cloudimport aiplatform
# Initialize Vertex AI platform
aiplatform.init (project=PROJECT_ID, location="us-central1")
# TODO(Developer): Check and update lines below
# cloud_bucket = "gs://cloud-samples-data"
# config_path = f"{cloud_bucket}/instructions/sample_configuration.json"
# output_path = "custom_job/output/"
custom_job = aiplatform.CustomJob (
display_name="Prompt Optimizer example",
worker_pool_specs=[
{
"replica_count": 1,
"container_spec": {
"image_uri": "us-docker.pkg.dev/vertex-ai-restricted/builtin-algorithm/apd:preview_v1_0",
"args": [f"--config={cloud_bucket}/{config_path}"],
},
"machine_spec": {
"machine_type": "n1-standard-4",
},
}
],
staging_bucket=cloud_bucket,
base_output_dir=f"{cloud_bucket}/{output_path}",
)
custom_job.submit()
print(f"Job resource name: {custom_job.resource_name}")
# Example response:
# 'projects/123412341234/locations/us-central1/customJobs/12341234123412341234'What's next
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