What is Multi-Model AI Orchestration?

[advuman]

will we use multi model?

[preatady]

Multi-model AI orchestration is the coordination of multiple AI models within one workflow, where each model is assigned the task it performs best. An orchestration layer decides which model to use, in what order the models should run, how data and context are passed between them, and what happens when a model fails.

For example, a video-processing application might use Whisper for speech recognition, an OCR model for reading subtitles, an LLM for translation and summarization, and a text-to-speech model for generating audio. The orchestrator connects these models, manages retries and fallbacks, controls cost and latency, and combines their outputs into the final result.

Therefore, multi-model orchestration is not simply calling several models. It is the logic responsible for selecting, coordinating, validating, and combining those models into a reliable AI system.