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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:...
A tool kit for generating high quality prompts using DSPy GEPA optimizer | Language: TypeScript | License: Other
Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant | Language: Python | License: MIT...
Created a little custom @DSPyOSS module which lets you wrap another module and make it stateful - allowing multi-turn conversations.
A user interface for DSPy | Language: Python | License: MIT License
FastAPI wrapper around DSPy | Language: Python | License: MIT License
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...
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction,...
Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically | Language: Python...
Currently, various industries are actively exploring fine-tuning large models for their specific sectors. The fine-tuning process itself is not...
A tool kit for generating high quality prompts for AISDK using DSPy GEPA optimizer
State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more | Language: Python |...
Simple Graph Memory for AI applications | Language: Jupyter Notebook | License: MIT License
In-Context Learning (ICL) has become a standard technique for adapting Large Language Models (LLMs) to specialized tasks by supplying task-specific...