Consilium: When Multiple LLMs Collaborate

The article discusses Consilium, a framework for orchestrating multiple Large Language Models (LLMs) to work together. This collaborative approach aims to leverage the strengths of different LLMs, potentially improving performance and addressing limitations of single-model systems. The focus is on how these models can be coordinated to achieve a common goal, likely involving task decomposition, result aggregation, and error handling. The Hugging Face source suggests a research-oriented piece exploring the practicalities and benefits of multi-LLM collaboration.