Building Reliable Production AI with Durable Workflows
The significance of durable workflows in enhancing reliability in production AI systems.
While creating AI prototypes is straightforward, production AI systems face complexities. With thousands of simultaneous model calls, issues like rate limits and transient failures arise. It becomes crucial for the system to track what has completed, what is still running, and what can be retried safely. Durable workflows are essential to ensure reliability in production AI, allowing for effective management of long-running executions and failures.
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