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Large language models (LLMs) excel at text generation, but their ability to handle clinical classification tasks involving structured data, such as...
In this tutorial, I’ll show you how I’ve modified and customized DSPy to make it handle system prompt optimization. Usually DSPy is doing program...
Simple Graph Memory for AI applications | Language: Jupyter Notebook | License: MIT License
DS.js (Declarative Self‑learning JavaScript | Language: TypeScript | License: MIT License
In this post, we covered the key abstractions in DSPy, and showed how simple it is to get started. As a developer, you begin by defining signatures,...
ZON → 35-70% cheaper LLM prompts than JSON/TOON. Zero overhead. | Language: Python | License: MIT License
DSPy.rb is an idiomatic Ruby surgical port of Stanford's DSPy framework. While implementing the core concepts of signatures, predictors, and...
Quickly get up and running with Event Sourcing and Agentic workflows in Clojure | Language: Clojure | License: MIT License
A user interface for DSPy | Language: Python | License: MIT License
Red-Teaming Language Models with DSPy | Language: Python
In this conversation, Ankur Gupta interviews Isaac Miller, a core contributor to DSPy, focusing on Recursive Language Models ... | Channel:...
Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant | Language: Python | License: MIT...
DSPy module for OpenAI Codex SDK - signature-driven agentic workflows | Language: Python | License: MIT License
Created a little custom @DSPyOSS module which lets you wrap another module and make it stateful - allowing multi-turn conversations.
A multi-agent LLM system for detecting and resolving cognitive dissonance. | Language: Python
This repository provides an extensible inference engine for using RLMs around standard API-based and local LLMs. The initial experiments and idea...
Currently, various industries are actively exploring fine-tuning large models for their specific sectors. The fine-tuning process itself is not...