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Joe Maddalone live coding extracting description from book images. Coded in typescript port of DSPy.
A collection of GitHub repos for AI engineers.
I’ve been working on a project called 3D-Agent — a multi-agent system that operates Blender through bpy. The agent reads the scene, plans what to do,...
DSPy's Recursive Language Model (RLM) with Modal Sandbox for secure cloud-based code execution | Language: Python | License: MIT License
This paper, "Unpacking Generative AI in Education," employs computational modeling to analyze the divergent perspectives of teachers and students...
Talks - Compound Retrieval Systems with Connor Shorten, Nova Customization with Vikram Shenoy, Arbor with Noah Ziems, DSPy 3.0 with Omar...
This is a mock summary for the article at https://x.com/highwayvaquero/status/1971314087574618192.
The standard DSPy OpenRouter integration has a critical limitation: it doesn't support model failover and always shows "LiteLLM" as the app name in...
Support-Sam: Customer Support with Knowledge Base This persona demonstrates: - RAG-based customer support - Ticket classification and routing -...
You may have heard about Context Engineering by now. This article will cover the key ideas behind creating LLM applications using Context Engineering...
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution...
In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples. | Language: Python | License: MIT License
A good code snippet driven style to teach DSPy.
RVAA: Recursive Vision-Action Agent for Long Video Understanding. Implementation of the RLM paradigm (Zhang, Kraska, Khattab 2025)
GEPA prompt optimization for Vercel's AI SDK. dead simple, DSPy-inspired API, and still feels native to AI SDK.
One line mention of GEPA and DSPy in the podcast.
The Meta-Prompting Protocol (MPP) replaces static prompting with an "Adversarial Trinity" (Generator, Auditor, Optimizer) that creates dynamic...
It demonstrates how DSPy automatically translates a Python class (defined with input/output fields and a docstring) into a structured system prompt...