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Take a data-driven approach to model selection with the Azure AI model catalog, featuring full lifecycle measurement capabilities and the ability to swap models through a unified API.

Build generative AI at scale with Azure OpenAI Service for security, cost-effective deployment strategies, industry-leading 99.9% SLA, and new ways to customize models and create agents.

Bring high-quality generative AI solutions to market with Azure AI Search for state-of-the-art retrieval augmented generation (RAG) that turns diverse data into accurate, relevant knowledge.

Navigate the new AI landscape with comprehensive protection against safety concerns such as indirect prompt injections, jailbreak attacks, and hallucinations.

Evaluate and scale generative AI solutions in your preferred languages, frameworks, and environments using native integration with GitHub and Visual Studio.

See how Azure AI Foundry supports the full generative AI lifecycle, bringing AI, data, security, and apps together for greater impact.
Stay in control throughout the lifecycle.

Access 1700+ foundation models from creators such as Microsoft, OpenAI, Hugging Face, Meta, and Cohere—then experiment, fine-tune, and deploy.
Confidently scale the next generation of safe, responsible AI applications.
Iterate easily with support for full lifecycle evaluations, from the prototype stage to manual and automated options, so you can continually optimize for your best experiences.
Use an enterprise-grade AI service for the end-to-end machine learning lifecycle.
Get powerful small language models (SLMs) with groundbreaking performance at low cost and low latency.
Receive guided assistance as you explore, design, and deploy custom generative AI.
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