the general availability of generative AI services based on Vertex AI, the machine learning platform as a service offering from Google Cloud. With the service becoming generally available, enterprises and organizations could integrate the platform’s capabilities with their applications.With this update, developers can use several new tools and models, such as the word completion model driven by PaLM 2, the Embeddings API for text and other foundation models in the Model Garden.
Vertex AI gives builders a full set of tools to help them tune, launch and manage models in production. For example, it was the first enterprise-grade ML PaaS to offer Reinforcement Learning with Human Feedback in May. This service leverages human feedback to improve the accuracy of fine-tuned models trained with custom datasets.
Google also announced case studies and evidence of customers utilizing its generative AI platform. GA Telesis is using the PaLM model on Vertex AI to build a data extraction system that uses email orders to create quotes for customers automatically. GitLab’s ‘Explain this Vulnerability’ feature uses the Codey model on Vertex AI. This capability gives developers a natural language description of code flaws and suggestions for how to fix them.
Google assures customers that with Vertex AI and Gen App Builder, their data remains under their full control and will not leave their tenant. The data is safeguarded during transit and while at rest, and Google will not share it or use it for training its models.
Cloud providers are competing in the field of Generative AI, which allows for the creation of new content using machine learning. This gives customers the option to choose from multiple platforms.Microsoft is positioning itself as a leader in this area by partnering with OpenAI and making significant investments. With Google announcing the general availability of its own generative AI platform, customers get the choice to choose the best option for their specific business needs.
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