Google Cloud Develops AI For Companies With New Tools On Vertex AI

JAKARTA - During Google Cloud Next '23, Google Cloud revealed an increase in its AI infrastructure for businesses and organizations in Southeast Asia.

In addition, at the same event, Google also announced the presence of Vertex AI, a comprehensive AI platform that allows customers to access, tune, and deploy first-party, third-party, and open-source models, as well as build and scale company-class AI applications.

Google Cloud is now also expanding Vertex AI capabilities significantly, including:

Improvement of PLM 2: 38 languages, including Simple Mandarin, Traditional Mandarin, Indonesian, Thai, and Vietnamese, is now generally available for PaLM 2 for Text and Chat.

Codey upgrades: Improvements have been made on Codey quality, Google Cloud's first-party model to generate and correct software codes, up to 25 percent in the language that is primarily supported for code generation and code chats. Google Cloud also plans to host Codey in Singapore's cloud region later this year.

Imagen upgrading: Google Cloud introduced Style Tuning for Imagen, a new ability to help companies better align their images with their brand guidelines with 10 images or less. Imagen is Google Cloud's first-party model for creating studio-graded images from text descriptions.

New model: Llama 2 and Meta's Llama Code, Technology Innovative Institute's Falcon LLM, are now available on the Garden Vertex AI Model.

Vertex AI Extensions: Developers can access, build, and manage extensions that provide real-time information, enter company data, and take action on behalf of users.

Vertex AI Search and Conversation: a tool that allows organizations to create advanced search and chat applications using their data in just minutes with little coding, is now publicly available.

Grounding: Google Cloud announced its groundbreaking grounding service on Vertex AI Search and Conversation, and a basic model on the Garden Vertex AI Model, providing organizations with the ability to strengthen responses in their own company data to provide more accurate responses.