Training a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P]

Explain Like I'm Normal

A new open-source framework allows developers to train a 'harness' that wraps around any LLM to improve its performance across various environments. Once trained, you can hot-swap different models while keeping the optimized agentic workflow intact. It basically creates a plug-and-play scaffolding for agent capability that isn't locked to a specific weights provider.