DSPy

DSPy

Automated prompt optimization framework for building AI Agents

DSPy is an open-source Python framework that enables developers to build language model applications using modular and declarative programming. It automates prompt engineering and model selection, allowing developers to focus on high-level logic rather than manual prompt crafting. DSPy optimizes prompts and models based on specified metrics, making AI systems more reliable, scalable, and efficient.

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Overview

DSPy is an open-source Python framework that enables developers to build language model applications using modular and declarative programming. It automates prompt engineering and model selection, allowing developers to focus on high-level logic rather than manual prompt crafting. DSPy optimizes prompts and models based on specified metrics, making AI systems more reliable, scalable, and efficient.

Use Cases

  • OPTIMIZING RETRIEVAL-AUGMENTED GENERATION SYSTEMS,
  • AUTOMATING CUSTOMER SUPPORT CHATBOTS,
  • CREATING PERSONALIZED RECOMMENDATION SYSTEMS,
  • DEVELOPING INFORMATION EXTRACTION TOOLS

Key Features

  • AUTOMATED PROMPT OPTIMIZATION,
  • DECLARATIVE PROGRAMMING,
  • MODULAR ARCHITECTURE, CONTINUOUS LEARNING,
  • LLM-AGNOSTIC DESIGN,
  • SCALABILITY,
  • PERFORMANCE METRICS INTEGRATION

Links

Website

Details

Pricing:Free

Source:Open Source