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[<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/stanfordnlp/dspy/blob/main/intro.ipynb)
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**DSPy** is the framework for solving advanced tasks with language models (LMs) and retrieval models (RMs). **DSPy** unifies techniques for **prompting** and **fine-tuning** LMs and approaches for **reasoning** and **tool/retrieval augmentation**. In DSPy, all of these are expressed through a small set of Pythonic modules _that compose and learn_.
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**DSPy** is the framework for solving advanced tasks with language models (LMs) and retrieval models (RMs). **DSPy** unifies techniques for **prompting** and **fine-tuning** LMs and approaches for **reasoning** and **tool/retrieval augmentation**. In DSPy, all of these are expressed through a small set of Pythonic modules _that compose and learn_.
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To make this possible:
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