GCP Vertex AI Platform

From GM-RKB
Jump to navigation Jump to search

A GCP Vertex AI Platform is an end-to-end cloud-based ML platform that is a Google GCP service.



References

2023

  • https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform
    • QUOTE: Vertex AI is a machine learning (ML) platform that lets you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications. Vertex AI combines data engineering, data science, and ML engineering workflows, enabling your teams to collaborate using a common toolset and scale your applications using the benefits of Google Cloud.
    • This section provides an overview of the machine learning workflow and how you can use Vertex AI to build and deploy your models.
      • ML System Data preparation: After extracting and cleaning your dataset, perform exploratory data analysis (EDA) to understand the data schema and characteristics that are expected by the ML model. Apply data transformations and feature engineering to the model, and split the data into training, validation, and test sets. ...
      • ML System Model training: Choose a training method to train a model and tune it for performance. ...
      • ML System Model evaluation and iteration: Evaluate your trained model, make adjustments to your data based on evaluation metrics, and iterate on your model. ...
      • ML System Model monitoring: Monitor the performance of your deployed model. Use incoming prediction data to retrain your model for improved performance. ...

2021

  • https://cloud.google.com/vertex-ai
    • QUOTE: Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform.
      • Build with the groundbreaking ML tools that power Google, developed by Google Research
      • Deploy more models, faster, with 80% fewer lines code required for custom modeling
      • Use MLOps tools to easily manage your data and models with confidence and repeat at scale

2021

2019