Multi-Modal transformer models (OpenAI and Azure Foundry)

OpenAI’s GPT-4o and GPT-4 Turbo models on Azure Foundry integrate text, vision, and audio into a single transformer architecture for unified reasoning.

These models move beyond text-only processing by using a unified transformer architecture to ingest and generate multiple data types simultaneously. On Azure Foundry, developers access GPT-4o (omni) and GPT-4 with Vision (GPT-4V) to build applications that can see, hear, and speak through a single API endpoint. This setup eliminates the need for separate OCR or speech-to-text pipelines, reducing latency to sub-second levels for real-time interactions. By leveraging Azure’s global infrastructure (specifically regions like East US and Sweden Central), teams deploy these multi-modal capabilities with enterprise-grade security and managed scaling.

https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-preview