Introduction
Hello from the Google Cloud AI Trusted Tester program! We are excited to share some valuable resources to help you build with generative AI on Google Cloud. These resources will deepen your knowledge of our latest AI technologies as you put them to work. Let’s dive in!
Gemini 1.0 Pro and Gemini 1.5 Pro
Recently, we announced the general availability of Gemini 1.0 Pro, our best model for scaling across AI tasks, to all Vertex AI customers. This means that any developer can now start building with Gemini Pro in production. Additionally, we introduced Gemini 1.5, a new generation of models that offer improved performance on a more efficient architecture. Gemini 1.5 Pro, which is currently in private preview on Vertex AI, is a mid-size multimodal model optimized for scaling across a wide range of tasks. It performs at a similar level to 1.0 Ultra, our largest model to date, and boasts the longest context window of any large-scale foundation model yet. You can find more details in the announcement.
Gemma: Google’s New Family of Open Models
We are thrilled to announce the availability of Gemma, Google’s new family of open models, on Google Cloud. Gemma models leverage the technical and infrastructure components of our Gemini models to achieve best-in-class performance for their sizes when compared to other open models in their class. You can download, train, and serve Gemma models directly from Vertex AI Model Garden. In our recent announcement, we released two sizes of Gemma models: Gemma 2B and Gemma 7B. To learn more about these models, visit the announcement.
Helpful Resources
Now, let’s explore some resources that will assist you in building with generative AI on Google Cloud:
1. Google Cloud AI Documentation
Our comprehensive AI documentation provides in-depth information on various AI technologies and services offered by Google Cloud. It covers topics such as machine learning, natural language processing, computer vision, and more. Whether you’re a beginner or an experienced AI developer, this documentation will be a valuable resource.
2. AI Hub
AI Hub is a central repository of pre-trained models, notebooks, and other AI assets. It offers a wide range of resources contributed by the Google Cloud community and Google’s AI experts. You can access AI Hub directly from the Google Cloud Console and leverage these assets to accelerate your AI projects.
3. Google AI Blog
The Google AI Blog is a platform where Google’s AI researchers and engineers share insights, advancements, and real-world applications of AI. It covers a diverse range of topics, including deep learning, natural language processing, robotics, and more. Subscribing to the blog will keep you updated with the latest AI research and trends.
4. Google Cloud AI Workshop
Participating in a Google Cloud AI workshop is an excellent way to gain hands-on experience with AI technologies. These workshops offer practical exercises, use cases, and guidance from Google experts. You’ll learn how to build and deploy AI models using Google Cloud’s powerful infrastructure.
5. Google AI YouTube Channel
The Google AI YouTube channel features a wide range of videos on AI research, tutorials, and presentations from top AI conferences. It’s a valuable resource for visual learners who prefer video content. You can subscribe to the channel and stay up to date with the latest AI videos from Google.
Conclusion
As a member of the Google Cloud AI Trusted Tester program, we are committed to providing you with the best resources to help you succeed in building with generative AI on Google Cloud. We encourage you to explore the mentioned resources and leverage them to deepen your understanding of our AI technologies. Happy building!
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