CCoE introduces a modular framework that enables large language models to efficiently handle multiple domains while using limited computational resources.

• Employs a collaborative multi-expert architecture that dynamically assigns specialized experts to different tasks
• Achieves superior performance across multiple domains without the computational demands of larger models
• Enables effective deployment in resource-limited settings through innovative model architecture
• Demonstrates a practical solution for organizations needing domain-specific LLM capabilities without extensive infrastructure

This research is particularly valuable for engineering teams seeking to implement advanced LLM capabilities in environments with hardware constraints or efficiency requirements.

CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings