Enhanced Tools and Models: What's New in Google's Generative AI Offering

 


Google Cloud has announced the general availability of its generative AI services, powered by Vertex AI, the machine learning platform as a service (ML PaaS) offering. This update allows enterprises and organizations to integrate the platform's capabilities into their applications. Developers now have access to a range of new tools and models, including the world completion model driven by PaLM 2 and the Embeddings API for text. They can also utilize the Generative AI Studio to fine-tune and deploy customized models. The Vertex AI platform incorporates enterprise-grade data governance, security, and safety features, ensuring customer confidence in consuming foundation models and building generative AI applications.

The Model Garden provides customers with access to over 60 base models from Google and its partners, with the promise of adding more models in the future. Additionally, the Codey model, which offers code completion, code generation, and chat functionalities, is now available for public preview. Vertex AI empowers builders with a comprehensive set of tools for tuning, launching, and managing models in production. In May, it became the first enterprise-grade ML PaaS to offer Reinforcement Learning with Human Feedback (RLHF), leveraging human feedback to enhance the accuracy of fine-tuned models trained with custom datasets. The general availability of Generative AI Studio expands the toolset, enabling customers to build custom generative AI applications more efficiently with multiple tuning methods for large models.

Google also highlighted several case studies demonstrating the successful implementation of its generative AI platform. GA Telesis utilizes the PaLM model on Vertex AI to create an automated data extraction system that generates quotes for customers based on email orders. GitLab's 'Explain this Vulnerability' feature employs the Codey model to provide developers with natural language descriptions of code flaws and suggestions for fixes. Canva, an online design tool, leverages Google Cloud's generative AI to translate languages, assisting users who don't speak English. Canva is also exploring ways to use PaLM technology to transform short video clips into longer, more captivating stories. Other companies, such as Typeface and DataStax, are utilizing Vertex AI to develop innovative tools for generative AI.

In addition, Google has made Enterprise Search on Generative AI App Builder (Gen App Builder) more user-friendly. This enhancement allows companies to create their own chatbots and search engines using generative AI and Google's semantic search technologies. The Gen App Builder offers starter kits tailored for popular generative AI use cases.

Google emphasizes that with Vertex AI and Gen App Builder, customers retain full control over their data, which remains within their own tenant and is safeguarded during transit and at rest. Google assures customers that their data will not be shared or used for training its models. The company rigorously tests new models to ensure they align with its Responsible AI Principles. All generative AI services provided by Google Cloud include robust user security, data management, and access controls.

The field of generative AI is witnessing intense competition among cloud providers. Microsoft, in partnership with OpenAI, is positioning itself as a leader in this domain by making significant investments. With Google's general availability announcement of its generative AI platform, customers now have the option to choose the platform that best suits their specific business needs.

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