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Modules that enable concurrent execution of AI tasks to improve throughput.
Distinguishing note: Focuses on concurrency, distinct from sequential module execution.
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DSPy is a declarative programming framework designed for building complex language model applications. It treats model interactions as modular, composable programs, allowing developers to define task logic through typed class schemas rather than relying on manually written prompts. By organizing workflows into hierarchical, reusable Python objects, the framework enables the construction of sophisticated AI systems that manage state and execution flow independently. The framework distinguishes itself through an automated optimization engine that iteratively refines prompt instructions and few-
Enables concurrent execution of AI tasks to improve throughput and efficiency.