DSPy Framework

What problem does it solve?

This Skill automates the complex and time-consuming process of prompt engineering for Large Language Models (LLMs), transforming it into a programmatic task.

Core Features & Use Cases

• Declarative Signatures: Define LM task inputs/outputs without specifying the "how".
• Automatic Optimization: Compilers (like MIPROv2) systematically improve prompts and few-shot examples using evaluation data.
• Reproducible Results: Ensures consistent performance across model versions and tasks.
• Use Case: When building a customer support chatbot, use DSPy to automatically optimize prompts for intent classification and response generation, leading to higher accuracy and reduced hallucinations.

Quick Start

Use the dspy skill to define a signature for question answering and compile it using the BootstrapFewShot optimizer with provided training examples.