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Market-leading solutions for multimodal and generative AI requires a combination of innovation, differentiation, and safety. To achieve this, developers can use Microsoft’s Azure AI Studio, Azure AI Services, and Azure Machine Learning. These platforms provide a unified development environment for evaluating models and deploying generative AI solutions, as well as access to turnkey, enterprise-caliber APIs for generative AI and multimodality.
By using Azure AI Studio, developers can quickly get started with a unified AI development platform that includes integrated GitHub integration and content safety. This ensures that AI experiences are delivered safely and with confidence, allowing developers to focus on their core competencies.
To differentiate with their data, developers can use Azure AI Services and Azure AI Search, which provide turnkey, enterprise-caliber APIs for generative AI and multimodality. This allows developers to tap into the power of generative AI and multimodality, and develop contextual, media-rich interactions grounded in diverse datatype and retrieval augmented generation (RAG).
To realize repeatable value, developers can use Azure Machine Learning, which provides complete life cycle management for data preparation, model development, and training, along with enterprise support for PyTorch and TensorFlow. This enables developers to accelerate machine learning projects and empower developer agility and collaboration with large language model operations to streamline management of the AI life cycle.
Overall, Azure provides a comprehensive set of tools and services that enable developers to lead the market in multimodal and generative AI. By using these tools, developers can differentiate with their data, deliver AI experiences safely, and realize repeatable value.
The solution captured in this document is a culmination of technologies developed by Dell Technologies and our partners, which in this instance is primarily Microsoft. This section covers the these technologies in detail.