Each has its merits, but I prefer Vertex AI’s model when it comes to better cost control for diverse and scaling AI needs. Additionally, Google gives new Google Cloud users $300 in free credits ...

The Gemini API and Google AI Studio also have expanded options, including the full context window for Gemini 1.5 Pro. Plus, Google Translate gets its largest-ever batch of new languages thanks to AI.

Six-vertex model: A lattice model in which each vertex can assume one of six configurations, used to study phase transitions and critical phenomena in statistical mechanics.

Chirp, the Embeddings API and Generative AI Studio, a suite for interacting with and deploying AI models, meanwhile, are accessible in preview in Vertex to anyone with a Google Cloud account.

The company also said that Imagen 3, Google’s highest-quality text-to-image AI model, will be available to all Google Cloud customers globally on Vertex.

Within Vertex AI, developers can customize Gemini Pro to specific contexts and use cases leveraging the same fine-tuning tools available for other Vertex-hosted models, like Google’s PaLM 2.

It’s one of those one of those interesting moments in time.” Google launched Vertex AI way back in 2021 as platform for developers to build machine learning services in the cloud.

As developers start getting their AI models up and running in Vertex AI, Datadog says, they will need a way to monitor their performance, hence today’s integration.

All parts of Google were on display at I/O 2021 today, with Google Cloud announcing general availability (GA) of Vertex AI. The platform is aimed at making machine learning more readily available ...