SPL Agent: Plug-and-Play Strategy Learning for Local LLMs

The post introduces System Prompt Learning (SPL), an open-source toolkit that teaches local LLMs reusable problem-solving strategies by building a human-readable strategy database, selecting and refining strategies over time, and reporting measurable accuracy gains across math benchmarks; it runs locally with minimal overhead and works with any OpenAI-compatible API.