vicentereig/sorbet-baml
A Ruby gem that converts T::Struct and T::Enum to BAML (Boundary AI Markup Language) type definitions. BAML uses 60% fewer tokens than JSON Schema...
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A Ruby gem that converts T::Struct and T::Enum to BAML (Boundary AI Markup Language) type definitions. BAML uses 60% fewer tokens than JSON Schema...
AI agents implementation to demostrate agentic programming frameworks and concepts like DSPy, MCP, etc. | Language: Python | License: MIT License
Join the Free Agentic AI Career Webinar ... | Channel: Interview Kickstart US
Language: Jupyter Notebook | License: Creative Commons Zero v1.0 Universal
A Ruby on Rails style framework for the DSPy (Demonstrate, Search, Predict) project for Language Models like GPT, BERT, and LLama. | Language: Python...
An introduction to DSPy | Language: Jupyter Notebook | License: MIT License
Optimize AI agent skills using DSPy and Agno | Language: Python
This repo includes a Claude Code plugin with an rlm skill. The skill teaches Claude how to use the rlm CLI for code analysis, diff reviews, and...
A DSPy integration for the Agent Skills specification, enabling ReAct agents to dynamically discover and use modular, sandboxed skills | Language:...
Omar Khattab explains the philosophy driving DSPy. It's not just for prompt optimization; it's about turning AI software into an ... | Channel: cmpnd
Developed by researchers at Argonne National Laboratory, AISAC (AI Scientific Assistant Core) is a specialized multi-agent framework designed to...
AI-powered tweet optimization tool using DSPy with hill-climbing algorithm | Language: Python | License: MIT License
Listen to this introduction to DSPY by Micheal Taylor, a key architecture underpinning AskRally's infrastructure choices. | Channel: Rally
Structured Prompting Enables More Robust Evaluation of Language Models | Language: Python | License: MIT License
A multi-agent system built with DSPy that coordinates research and writing agents to produce comprehensive articles on any topic. | Language: Python...
⚡ AI-powered content intelligence with structured data extraction. Self-improving prompts, customizable templates, and feedback learning. Supports...