mlops/dspy
CommunityBuild self-improving AI systems with declarative prompts.
Software Engineering#prompt engineering#prompt optimization#declarative programming#modular AI#automated tuning#self-improving systems
Authorzli5460
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It streamlines the development of complex AI workflows by providing declarative modules and optimization techniques for prompt engineering.
Core Features & Use Cases
- Declarative Programming: Create modular AI pipelines with clear input-output signatures.
- Prompt Optimization: Automate prompt design and refinement via data-driven optimizers.
- Use Case: Automate question-answering systems that self-improve over time with minimal manual tuning.
Quick Start
Use DSPy to define a question-answer module and improve its accuracy by running an optimizer over training examples.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences/optimizers.mdreferences/modules.md
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Please help me install this Skill: Name: mlops/dspy Download link: https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture/archive/main.zip#mlops-dspy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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