Google Cloud introduces generative AI support in Vertex AI
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Google Cloud introduces generative AI support in Vertex AI

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

This supplement makes advanced generative AI models accessible to individuals and organizations beyond the realm of data science and engineering.

Enabling access to advanced generative AI models

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

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

Vertex AI allows you to choose the model that works best for specific use cases by categorizing the models based on their content generation capabilities.

One of the notable generative AI models is PaLM 2, a language model driving the PaLM API.

PaLM 2 has improved multilingualism, reasoning and coding features that enable users to handle language-based tasks more efficiently and accurately.

Harness the power of the PaLM API

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

This API, based on large language models (LLMs), generates text and code in response to natural language prompts.

It offers special features tailored to various use cases, including the following:

  • The PaLM API for text is optimized to be great for language tasks.
  • The PaLM API for chat is designed for multi-round conversations.
  • The Text Embedding API generates vector embeddings for input text.
  • The Codey APIs include code generation models, code completion suggestions, 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 accessible to more people.

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

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

Developers, even those with no prior machine learning experience, can use this technology without worrying about the complexities of provisioning storage and compute resources.

Cost efficiency and flexibility

While there is a cost associated with using Vertex AI, Google Cloud offers various pricing options and flexibility to accommodate different user needs.

This ensures that individuals or small businesses with limited resources do not need to make significant upfront investments.

In total

Google’s latest update to Vertex AI democratizes artificial intelligence by offering 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 and encourages even non-technical individuals to benefit from it.


source: Google

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