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This section presents the reference architectures of a genai gateway for an enterprise that needs to access both azure openai (aoai) resources and the custom llm deployments on their own premises. The anatomy of genai applications differs significantly from traditional digital applications. Explore a refined genai applications reference architecture, inspired by industry insights, addressing challenges, and fostering responsible ai practices.
Generative ai is a form of ai that can create new and original content, such as text, images, audio, video, music, art, and code Make it a priority to deliver trusted data for ai. Genai is based on various technical foundations, such as
In figure 1, we list these six focus areas, along with relevant use cases of genai
It is important to note that in most of these examples, intelligent technologies are digital assistants for humans and not replacements. Discover how to deploy modern data architectures for generative ai (genai) success, ensuring your data is primed and ready for ai innovation Poor data quality can lead to unreliable ai outcomes, resulting in untrustworthy and risky results
