DSPy on a Pi: Cheap Prompt Optimization with GEPA and Qwen3
Lee Butterman’s recent experiment, "DSPy on a Pi," demonstrates that sophisticated prompt optimization is achievable on low-cost edge hardware like a...
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Lee Butterman’s recent experiment, "DSPy on a Pi," demonstrates that sophisticated prompt optimization is achievable on low-cost edge hardware like a...
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨ | Language: TypeScript | License: Other
DSPy: The framework for programming—not prompting—language models | Language: Python | License: MIT License
This blog post is a technical walkthrough of how we improved the coding agents used in the AI data scientist. With the actual data, and evaluation...
DSPy quick review in Chinese. 隨著模型性能提升, Prompt Engineering 的重要性不如數年前那麼顯著。 今年一個非常受歡迎的項目 DSPy 提出了一個革新性的概念:「Programming—not prompting」,主張讓程式自動生成...
A cool thread yesterday used GPT4 ($50), a 500-word ReAct prompt, and ~400 lines of code to finetune Llama2-7B to get 26% HotPotQA EM. Let's use 30...
lru_cache cache decorator applied to ensure faster throughput and stopping needless regeneration.
Added ability to use a seperate prompt_model to use to evolve the program.
The pretty much "official" DSPy framework for Typescript | Language: TypeScript | License: Apache License 2.0
Token-Oriented Object Notation keeps your nested Sorbet structs intact—something flat CSV rows simply can’t do when you prompt large language models....
Modaic is the platform for DSOps: DevOps for DSPy programs. We’re building the infrastructure for software 3.0, where agents autonomously improve...
After optimizing your first model using GEPA on Databricks (previous blog), you now have a smaller model that can perform on par or better than a...
Adding Memory, Production UI, and Multi-Step Reasoning How we evolved from a stateless prototype to a production-ready intelligence system with...
This tutorial demonstrates how to use MLflow to track and analyze your DSPy optimization process. MLflow's built-in integration for DSPy provides...
In the DSPy series of conversation we talk to Drew Breunig about his collaboration with Issac ( DSPy contributor ) on dspy-cli....
In this talk I will cover frequent AI system problems caused by using prompts and opaque frameworks instead of a descriptive programmatic approach,...
Data Sanity Workshop: Optimizing AI Agent Prompts with DSPy In this hands-on workshop, you’ll be introduced to DSPy, a practical framework for...
Promptomatix is an AI-driven LLM prompt optimization framework powered by DSPy and advanced optimization techniques. It automatically analyzes tasks,...
The article critiques the inefficient "alchemy" of manual prompt engineering, advocating instead for the DSPy framework to transform LLM interactions...
Darin Kishore explores how combining Anthropic’s Model Context Protocol (MCP) with the DSPy framework can make for better AI workflow development....