Browsing: reproducibility

Researchers Alexander and Jacob Roman have released Orchestral AI, a new Python framework that provides synchronous, type-safe LLM orchestration as an alternative to complex existing tools like LangChain. The framework addresses critical reproducibility issues in AI research while offering provider-agnostic functionality, emerging as industry tensions around model access restrictions intensify.