Compile declarative LM programs into modular, reusable pipelines.
npx skills add https://github.com/overviewlabs/WHOX --skill dspy-overviewlabs
Please help me install this Agent Skill. Skill: dspy Source: https://github.com/overviewlabs/WHOX/tree/main/skills/mlops/research/dspy Command: npx skills add https://github.com/overviewlabs/WHOX --skill dspy-overviewlabs
DSPy provides a framework to design, compose, and optimize complex language-model pipelines using declarative programming, reducing boilerplate and enabling self-improving AI systems.
Install DSPy, define a simple signature, and run a basic prediction to verify end-to-end functionality.
High-intent search queries and answers about installing and using this skill.
Build self-improving AI pipelines by using declarative LM programming to compile modular, reusable stages like retrieve, reason, and generate into robust workflows. This framework applies typed signatures and built-in teleprompters to automatically optimize prompts and training data.
Automate prompt optimization by applying built-in teleprompters like BootstrapFewShot, MIPRO, and COPRO to your declarative LM pipelines. These optimizers automatically compile and improve prompts, reducing manual boilerplate and enabling self-improving AI systems.
Create reliable language model calls for RAG pipelines and tool-using agents by defining structured, typed task definitions via Signatures. This typed signature system provides better tooling and ensures robust information work across multi-stage workflows.
Declarative LM programming works for both research and production environments where teams design complex AI systems. The framework provides modular components, typed signatures, and rich references to accelerate adoption and satisfy developer needs.
Use teleprompters instead of manual prompt engineering when you need to automatically improve prompts and training data across multi-stage workflows. They compile declarative LM programming into modular pipelines, eliminating boilerplate and enabling self-improving AI systems.
tianhao909Build DSPy programs with signatures, modules, and automatic prompt optimization.
handsomelong922Automate language-model pipeline construction with declarative signatures and modules.
TheBushidoCollectiveDeclare external Erlang functions and call them from Gleam with typed interfaces.
ovachieverDeclaratively program language models and automatically optimize prompts with DSPy.
