DSPy is an innovative, open-source AI framework developed by Stanford University's Natural Language Processing (NLP) team. This groundbreaking tool revolutionizes the way we interact with language models by shifting the focus from manual prompt engineering to declarative programming. DSPy is designed to compile declarative language model calls into self-improving pipelines, making AI applications more reliable, scalable, and easier to develop. DSPy offers a robust set of features that enhance the interaction with language models, providing users with the tools necessary to build efficient and effective AI systems. The framework emphasizes a modular approach that allows users to define tasks clearly and optimize their implementations. DSPy can be utilized in several practical applications across diverse domains, showcasing its versatility and effectiveness in handling NLP tasks. To begin using DSPy, follow these steps:Features
Feature
Description
Declarative Programming
Allows users to write compositional Python code to teach language models for higher quality outputs.
Modular Architecture
Separates app logic from text, enabling focus on AI functionality while optimizing prompts behind the scenes.
Task Definition and Optimization
Users specify task goals and metrics to ensure model alignment with objectives.
Example Inputs and Modules
Utilizes example inputs to guide learning, with modules serving as reusable components for various NLP tasks.
Automatic Prompt Optimization
Automates the optimization of prompts for contextually relevant and coherent responses.
Built-in Evaluation Capabilities
Includes evaluation tools to ensure optimized modules meet performance criteria.
Community-Driven Development
Promotes collaboration for improving compositional architectures and inference-time strategies.
Open-Source Contributions
Supported by over 250 contributors, introducing tens of thousands to building modular LM programs.
Use Cases
How to get started
pip install -U dspy
The pricing for DSPy is not explicitly listed online.Pricing Information for DSPy