PaLM-Chat-Bison-001
What does it do?
- Machine Learning Platform
- Model Training
- Model Deployment
- Model Evaluation
- Model Tuning
How is it used?
- Access Vertex AI via Google Cloud Console to deploy and manage models.
- 1. Access web app
- 2. Select model
- 3. Train w/ own data
- 4. Monitor performance
Who is it good for?
- AI Researchers
- Machine Learning Engineers
- Data Scientists
- Business Analysts
- Software Developers
What does it cost?
- Pricing model : Unknown
Details & Features
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Made By
Google -
Released On
2010-10-24
Vertex AI is a comprehensive machine learning platform provided by Google Cloud that enables developers and data scientists to build, deploy, and scale machine learning models efficiently. It offers a suite of tools and services designed to streamline the entire machine learning workflow, from data preparation to model training and deployment.
Key features:
- Foundation Models: Access to a variety of pre-trained models for text generation, image recognition, and other applications, customizable for specific use cases.
- Custom Model Training: Capability to train custom models using proprietary data on Google's infrastructure.
- Pre-trained Models: Library of ready-to-use models for common tasks such as image classification, object detection, and natural language processing.
- Model Evaluation and Tuning: Tools for assessing model performance and optimizing hyperparameters.
How it works:
1. Users access Vertex AI through the Google Cloud Console.
2. They select and deploy models from a list of foundation models or train custom models using their own datasets.
3. The platform provides tools for monitoring model performance, managing versions, and handling scaling.
Integrations:
BigQuery, Google Cloud Storage, TensorFlow, Kubeflow
Use of AI:
Vertex AI incorporates generative AI through its foundation models, which are built on large language models and other advanced AI technologies. These models are designed to handle a wide range of tasks and are regularly updated to reflect the latest advancements in AI research.
AI foundation model:
The platform offers a variety of foundation models that have been fine-tuned for different applications. These models are available at various price points and can be customized for specific use cases.
Target users:
- Data scientists requiring a robust platform for building and deploying machine learning models
- Developers seeking to integrate AI capabilities into their applications
- Businesses needing scalable AI solutions for various use cases, including customer service automation and predictive analytics
How to access:
Vertex AI is accessible as a web application through the Google Cloud Console. It also provides APIs and SDKs for integration into custom applications.
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Supported ecosystemsGoogle, Google, Android, iOS, Apple, Apple, iOS, Google, Android
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What does it do?Machine Learning Platform, Model Training, Model Deployment, Model Evaluation, Model Tuning, Image Classification, Object Detection, Natural Language Processing, Text Generation, Image Synthesis
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Who is it good for?AI Researchers, Machine Learning Engineers, Data Scientists, Business Analysts, Software Developers
PRICING
Visit site| Pricing model: Unknown |
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