Swarm of Specialists: Can Multi-Model Ensembles of Fine-Tuned 7-8B Specialists Surpass Monolithic 70B+ Foundation Models?

Key Points

• This research explores whether ensembles of smaller, specialized language models can outperform traditional large monolithic models in specific tasks.
• Developed ensembles of fine-tuned 7-8B parameter specialist models for targeted domains.
• Implemented a lightweight routing layer for coordination among models.
• Conducted comparative analysis against monolithic models comprising 70B-400B parameters.
• Ensembles demonstrated enhanced performance in domain-specific tasks over monolithic models.
• Achieved parameter efficiency with significantly reduced computational overhead.
• Fine-tuned specialists showed improved contextual relevance in targeted domains.