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Prediction Guard is a software platform that enables users to integrate controlled and compliant AI agents, ensuring consistent structured outputs from the latest LLMs. Founded by Daniel Whitenack, a machine learning and AI systems expert, Prediction Guard automatically finds the best model for a specific use case and evolves predictions according to state-of-the-art changes. It is essential in preventing unstructured output and providing accurate predictions. The platform comes with a Python SDK that can be easily installed with pip and supports integration into other software ecosystems.

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