Google, during a recent online Google I/O conference, unveiled a managed service that promises to make it easier to build artificial intelligence (AI) models in addition to setting the stage for the unification of machine learning and IT operations.
At the same time, Google also unveiled a Language Model for Dialogue Applications (LaMDA) that promise to make it possible for chatbots to engage in more open-ended conversations and a multitask unified model (MUM) that can be employed to respond to natural language queries against related text, images, and videos in 75 different languages.
Finally, Google also announced its fourth-generation tensor processing units (TPUs) that on average will run AI models 2.7 times faster than the previous generation of TPUs.
Google Cloud Launches Vertex AI, A Machine Learning Platform
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Everything announced at Google I/O 2021
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Users can manage data and prototype, deploy, and interpret models without needing formal machine learning training, the company said. Specific capabilities of Vertex AI include:
Accessing the Google AI toolkit powering Google internally, including pre-trained APIs for computer vision, video, natural language, and structured data.
Faster deployment of AI applications via MLOps features such as Vertex Vizier, to increase the rate of experimentation; Vertex Feature Store, to serve, share, and reuse machine learning features; and Vertex Experiments, to accelerate deployment of models.
Tools such as Vertex Continuous Monitoring and Vertex Pipelines streamline machine learning workflow. These tools are intended to remove the complexity of self-service model maintenance and repeatability.