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AI Glossary

Model Orchestration

The coordination of multiple AI models to work together on complex tasks or provide redundancy.

TL;DR

  • —The coordination of multiple AI models to work together on complex tasks or provide redundancy.
  • —Understanding Model Orchestration is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Model orchestration manages the selection, sequencing, and coordination of multiple AI models. This includes choosing the right model for each task, managing failover between providers, combining outputs from multiple models, and balancing cost and quality across model selections.

Related Terms

Model Routing

The automated process of directing AI queries to the optimal model based on cost, latency, capability, or policy requirements.

AI Gateway

A centralized access point that manages, monitors, and controls traffic between applications and AI model providers.

Model Endpoint

An API URL where AI model inference requests are sent and responses received.

Inference Cost

The computational cost of running a query through an AI model, typically measured per token.

Knowledge Hub

Glossary FAQs

Model Orchestration is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the coordination of multiple ai models to work together on complex tasks or provide redundancy.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Model Orchestration through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Model Routing and AI Gateway.

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