Google Cloud updated Vertex AI with new models, context caching, provision throughput and a bevy of grounding updates with Google Search, third party data and an experimental "grounding with high-fidelity mode."
Google I/O 2024 featured a bevy of generative AI advances that will be layered throughout Google's product portfolio but the real takeaway was that the company laid out its vision for agents, models training models, and creating systems that work for you
Google Cloud pitched an agent-oriented vision for generative AI at Google Cloud Next and highlighted a bevy of emerging use cases going from pilot to production.
MongoDB expanded integrations with Google Cloud's Vertex AI, BigQuery, Google Distributed Cloud and Google Cloud Manufacturing Data Engine.
Google Cloud said its Vertex AI Search for Healthcare with integration with MedLM and Healthcare Data Engine v2 is generally available.
Google Cloud said Google's new Gemini 1.0 models, Gemini 1.0 Pro and Gemini 1.0 Ultra are generally available to enterprises and a private preview is available for Gemini 1.5.
Google One will get Gemini Advanced under a $19.99 a month plan that will include Google's state-of-the-art model designed for complex tasks along with 2TB of storage and other perks.
Hugging Face will enable developers to use Google Cloud infrastructure for its services and training models.
The plan for Google is to get Gemini into as many developer workflows as possible.
Demis Hassabis, CEO of Google DeepMind, said the company set out to make Gemini multimodal from the start.
Google previewed a Google Meet feature called "Attend for me" that could turn out to be a killer app for those of us slammed with meetings and begging for a digital stand-in.
Google Cloud revenue in the second quarter of $8 billion topped YouTube ad sales of $7.66 billion.
