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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.
ZON → 35-70% cheaper LLM prompts than JSON/TOON. Zero overhead. | Language: Python | License: MIT License
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...
Python library integrating BRAID (Bounded Reasoning) into DSPy framework. | Language: Python | License: MIT License
All hail nano banana. DSPy basics cheatsheet.
ASR errors in clinical dialogue can be dangerous, and WER doesn’t know it. Today we release “WER is Unaware”.
This paper challenges the reliability of current benchmarks like HELM, arguing that their reliance on fixed prompts systematically underestimates...
Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant | Language: Python | License: MIT...
Not kidding. "I DSPy optimised all night but my pickle files were empty". I have seen it all now.
The article argues that the primary power of LLMs in business automation is their ability to solve the main bottleneck: converting "fuzzy,"...
This culminates in the ColBERT paradigm for neural IR and in the DSPy framework for natural language programming. We demonstrate through these...
The new BAML adapter (which subclasses the existing JSON adapter) avoids using JSON schema for formatting the data model in the prompt. Instead, it...
This Databricks blog post discusses building cost-effective, enterprise-grade AI agents using automated prompt optimization - GEPA, MIPROv2, SIMBA...