DSPy

Build modular model programs and improve them against a metric.

DSPy separates task signatures, execution modules and optimization. Its examples show how prompts can be adjusted using training examples and a scoring function rather than maintained only through manual edits.

Level: Advanced
Models: any
Category: Prompting
Tags
Source date: date not stated
Added: 2026-10-18
Last verified: 2026-10-18
Status: ok
Prerequisites: Requires implementation experience or critical reading of technical methods and system trade-offs.
Subcategory: prompt optimization
Region: West
Original language: en
Access: free
Resource reuse: open: Source states MIT. Applies to the linked resource, not every referenced model or dataset. Facet definitions

Summary in our own words. Rights remain with the original creator. Credit and correction policy.

Plain-text Markdown copy