From the course: AI Orchestration: Foundations

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Input interface for AI orchestrators

Input interface for AI orchestrators

From the course: AI Orchestration: Foundations

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Input interface for AI orchestrators

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- [Presenter] One of the magical moments when ChatGPT first came out was the ability to just type, ask a question, and get a plausible answer. This method of seamlessly inputting questions into an AI system set a bar for AI applications. Here I'll cover the different input interfaces an AI orchestrator should support to enable the strong user experience. Inputting information into an AI system can take many forms. It can be a voice conversation with a user expectation of millisecond latencies, or it can be a standard chat support with the expectation of seconds, or in an email support use cases, minutes might be an acceptable latency for users. So depending on what kind of application and use case you're building, you'll need to select the right interface for your application. AI orchestrators can then be helpful in a few ways when building input interfaces. They can provide pre-built examples, let you build custom logic for handling interfaces, and provide extensibility to customize…

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