tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model

Example Airflow DAG for Google Vertex AI Generative Model prompting.

Attributes

PROJECT_ID

DAG_ID

REGION

PROMPT

CONTENTS

TEXT_EMBEDDING_MODEL

MULTIMODAL_MODEL

MULTIMODAL_VISION_MODEL

VISION_PROMPT

MEDIA_GCS_PATH

MIME_TYPE

TOOLS

GENERATION_CONFIG

SAFETY_SETTINGS

EVAL_DATASET

METRICS

EXPERIMENT_NAME

EXPERIMENT_RUN_NAME

PROMPT_TEMPLATE

CACHED_MODEL

CACHED_SYSTEM_INSTRUCTION

CACHED_CONTENTS

generate_embeddings_task

test_run

Module Contents

tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.PROJECT_ID[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.DAG_ID = 'vertex_ai_generative_model_dag'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.REGION = 'us-central1'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.PROMPT = 'In 10 words or less, why is Apache Airflow amazing?'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.CONTENTS[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.TEXT_EMBEDDING_MODEL = 'textembedding-gecko'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.MULTIMODAL_MODEL = 'gemini-pro'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.MULTIMODAL_VISION_MODEL = 'gemini-pro-vision'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.VISION_PROMPT = 'In 10 words or less, describe this content.'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.MEDIA_GCS_PATH = 'gs://download.tensorflow.org/example_images/320px-Felis_catus-cat_on_snow.jpg'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.MIME_TYPE = 'image/jpeg'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.TOOLS[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.GENERATION_CONFIG[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.SAFETY_SETTINGS[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.EVAL_DATASET[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.METRICS[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.EXPERIMENT_NAME = 'eval-experiment-airflow-operator'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.EXPERIMENT_RUN_NAME = 'eval-experiment-airflow-operator-run'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.PROMPT_TEMPLATE = '{instruction}. Article: {context}. Summary:'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.CACHED_MODEL = 'gemini-1.5-pro-002'[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.CACHED_SYSTEM_INSTRUCTION = Multiline-String[source]
Show Value
"""
You are an expert researcher. You always stick to the facts in the sources provided, and never make up new facts.
Now look at these research papers, and answer the following questions.
"""
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.CACHED_CONTENTS[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.generate_embeddings_task[source]
tests.system.google.cloud.vertex_ai.example_vertex_ai_generative_model.test_run[source]

Was this entry helpful?