Youtube Reel - GEPA Introduction (Genetic-Pareto Prompt Optimizer)
GEPA can improve your AI agent performance simply by evolving the instruction or prompt.
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GEPA can improve your AI agent performance simply by evolving the instruction or prompt.
Data Engineering Theatre Thursday, 25th Sep 12:00 - 12:30 Data teams know the pain of moving from proof-of-concepts to ... | Channel: Big Data LDN
Discover how Agent Zero integrates with DSPy to create self-improving quantitative trading systems with institutional-grade ... | Channel: Agent Zero...
The talk explores how to manage multiple AI assistants through a **flexible Routing Agent** that automatically directs queries to the right model....
How to extract any information from images using DSPY and Gemini models. | Channel: kevin herbas
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization β¨ | Language: TypeScript | License: Other
Convenience functions for commonly used digital signal processing plots. | Language: Python | License: MIT License
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...
A brutally honest "highβorbit" startup advisor you can text or run from the CLI. Built with DSPy, it provides opinionated, YC-style advice and...
Stateful AI Agent for Knowledge Extraction | Language: Python
Tutorial for DSPy | Language: Jupyter Notebook
oda-r is a professional-grade compiler for Declarative Self-improving Python (DSPy), featuring comprehensive error handling, logging, and...
SuperOptiX: GEPA DSPy Optimizer hands-on demo - User DSPy GEPA in SuperOptiX - Use with local llama and Owen models ... | Channel: Superagentic AI
GEPA + DSPy + SuperOptiX : Quick Demo. | Channel: Superagentic AI
Learn to build a DSPy classification pipeline: load data, evaluate a base model, apply optimization, and compare results to a ... | Channel: AI...
Streamed at https://www.twitch.tv/marvintheeighth Code at https://github.com/mariusarvinte/streaming. | Channel: Marius Arvinte
A Claude Code skill for building DSPy extraction, classification, and analysis pipelines
.net port of https://github.com/stanfordnlp/dspy | Language: C# | License: MIT License
In this video Prashanth Rao talks about his contribution to DSPy codebase and in the course of doing so gives us a walkthrough of ... | Channel:...