Google Cloud introduces support for generative AI in Vertex AI

Google is rolling out an update to its cloud-based machine learning platform, Vertex AI, that brings support for generative capabilities.

This addition makes advanced generative AI models accessible to people and businesses beyond the realm of data science and engineering.

Enabling access to advanced generative AI models

Generative AI support in Vertex AI gives users access to Google’s extensive generative AI models.

These models cover various types of content, including text and chat, images, code, and text embeds.

Vertex AI lets you select the best fit for specific use cases by ranking models based on their content generation capabilities.

One notable generative AI model is PaLM 2, a language model that drives the PaLM API.

PaLM 2 features enhanced multilingual, reasoning, and coding capabilities, allowing users to tackle language-based tasks more efficiently and accurately.

Harnessing the power of the PaLM API

Vertex AI allows users to leverage the generative capabilities of Google’s PaLM API.

This API, powered by large language models (LLM), generates text and code in response to natural language prompts.

It offers specialized features tailored to different use cases, including the following:

PaLM’s API for text is tuned to excel in language tasks. The PaLM chat API is designed for multi-turn conversations. The text embedding API generates vector embeddings for the input text. Codey’s APIs include templates for code generation, suggestions for code completion, and code-related questions.

Democratizing AI: Accessibility and Simplicity

By adding generative capabilities to Vertex AI, Google aims to democratize the technology by making it available to more people.

The platform offers an intuitive interface, including Generative AI Studio, that you can use without extensive technical knowledge.

Generative AI Studio focuses on low-code implementation. This means that Google’s multimodal base models, such as PaLM, Imagen, Codey, and Chirp, can be integrated into applications with just a few lines of code.

Developers, even those without a background in machine learning, can take advantage of this technology without worrying about the complexities of provisioning storage and compute resources.

Cost-effectiveness and flexibility

Although there are costs associated with using Vertex AI, Google Cloud offers a variety of pricing options and flexibility to suit different user needs.

This ensures that individuals or small businesses with limited resources will not have substantial initial investments.

To sum up

Google’s latest update to Vertex AI democratizes artificial intelligence by bringing accessible and advanced generative models to a wider audience.

With its intuitive, low-code Generative AI Studio, the platform removes the technical barriers associated with AI, encouraging even non-tech-savvy people to take advantage of it.

source: Google

Featured image: Tada Images/Shutterstock

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About the Author: Ted Simmons

I follow and report the current news trends on Google news.

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