Vertex Ai

What is Vertex Ai?

Vertex AI is a fully-managed, unified AI development platform provided by Google Cloud. It offers various features, including access to Gemini models for multimodal tasks, over 150 generative AI models and tools, and an open and integrated AI platform for data scientists to streamline training, tuning, and deploying ML models. Vertex AI also incorporates MLOps tools for automating and managing ML projects efficiently. The platform aims to simplify the process of building, training, and deploying AI models for data scientists and developers, fostering collaboration and flexibility in AI development across different industries.

Vertex AI provides pre-built models, automated machine learning capabilities, model management, deployable models, a collaborative workspace, flexible tool usage, and leverages Google Cloud's infrastructure to ensure reliability and scalability. It caters to various tasks such as computer vision, natural language processing, structured data processing, classification, regression, and recommendation tasks. The platform is suitable for organizations in different sectors, such as finance, healthcare, manufacturing, and retail, aiming to improve decision-making processes, reduce operational costs, and enhance customer experiences. Despite its advantages, some limitations include requirements for Google Cloud infrastructure, potential complexity for small teams, and an unclear pricing structure.

Who created Vertex Ai?

Vertex AI was created by Google Cloud. The platform was launched on January 20, 2022. Vertex AI provides various tools for training, tuning, and deploying ML models, including generative AI models like Gemini 1.5 Pro and Gemini 1.5 Flash. It offers features such as Model Garden for discovering, custom training options, and purpose-built MLOps tools for automating ML projects.

What is Vertex Ai used for?

• Text summarization, classification, and extraction with generative AI support
• Training custom ML models with custom training overview and documentation
• Training and creating ML models with minimal technical expertise using AutoML
• Deploying ML models for batch or online predictions with Vertex AI Model Registry and prediction service
• Improving decision-making processes with Vertex AI's capabilities
• Reducing operational costs through automation, pre-built models, and streamlined workflows
• Enhancing customer experiences by leveraging advanced AI technologies
• Automating machine learning processes with tools provided by Vertex AI
• Assisting non-technical users with automated machine learning and pre-built models
• Utilizing Vertex AI for tasks related to structured data like classification, regression, and recommendation

Who is Vertex Ai for?

• Data scientists
• Developers

How to use Vertex Ai?

To use Vertex AI, follow these step-by-step procedures:

1. Utilize Generative AI for Various Tasks:

   • Create text prompts for tasks like classification, summarization, and extraction with Vertex AI's generative AI support.
   • Access the PaLM API to design prompts with flexibility in structure and format.

2. Train Custom ML Models:

   • Explore custom training workflows in Vertex AI, understand the benefits, and learn about different training options.
   • Follow every step from data preparation to model predictions.

3. Train Models with Minimal ML Expertise:

   • Use Vertex AI's AutoML to effortlessly create and train high-quality custom machine learning models.
   • Ideal for automation of tasks like curation of videos, images, texts, and tables.

4. Deploy Models for Production Use:

   • Register your model with the Vertex AI Model Registry when ready to solve real-world problems.
   • Make use of the Vertex AI prediction service for both batch and online predictions.

5. Explore Pricing:

   • Understand Vertex AI pricing based on tools, services, storage, compute, and Google Cloud resources used.
   • Pricing varies depending on the specific tools and services utilized.

6. Built-In AI Solutions:

   • Leveraging Vertex AI Platform, explore various AI solutions like Contact Center AI, Document AI, Anti Money Laundering AI, and more.
   • Understand the workflow options for model training and deployment, including Generative AI, Model Garden, and custom training.

7. Innovate Faster with Enterprise-Ready Generative AI:

   • Use Generative AI models and fully managed tools to build, customize, and integrate models into applications.
   • Benefit from Vertex AI's MLOps tools for automating and managing ML projects effectively.

By following these steps, you can effectively utilize Vertex AI for a wide array of machine learning tasks with ease and efficiency.