AI Development
Orchestration
The coordination layer that manages how AI agents, tools, and data sources work together in a pipeline.
In depth
The coordination layer that manages how AI agents, tools, and data sources work together in a pipeline. Orchestration handles routing prompts to the right model, managing context across steps, retrying failures, and combining results from parallel sub-tasks.
Example
In practice, developers reach for Orchestration when they need the capability described above as part of an AI feature or workflow.
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FAQ
Common questions
What is Orchestration?
The coordination layer that manages how AI agents, tools, and data sources work together in a pipeline.
Why does Orchestration matter for AI developers?
Orchestration sits in the AI Development part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Orchestration?
Developers Digest publishes tutorials and videos that cover AI Development topics including Orchestration. Check the blog and YouTube channel for hands-on walkthroughs.
Related
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A model-parallel technique that splits a network by layers into sequential stages on different accelerators, passing activations from one stage to the next.
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Agents that start from events, such as a new email or a webhook, rather than from a person typing a message, and that can run many tasks at once in the background.
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