DSPy is an open-source framework designed to optimize and fine-tune language model pipelines for various natural language processing tasks, allowing developers to programmatically define and refine their models' behavior. By providing a structured approach to language model development, DSPy has garnered attention in the tech community for its potential to streamline and improve the performance of AI-driven applications, making it a valuable tool for researchers and developers working with large language models.
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