Can small LLMs in a multi-agent system handle complex bioinformatics tasks?
BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems
January 14, 2025
https://arxiv.org/pdf/2501.06314This paper introduces BioAgents, a multi-agent system designed to simplify complex bioinformatics tasks. It uses smaller, specialized language models (LLMs) fine-tuned on bioinformatics data and retrieval augmented generation (RAG) for efficiency and local operation. Evaluations show BioAgents achieves human-expert level performance on conceptual genomics tasks but struggles with complex code generation, highlighting a need for improvements in workflow diversity, information retrieval, and reasoning agent capabilities within the LLM-based multi-agent framework. Key to its design is self-evaluation for reliability and collaborative reasoning for transparency.