Glia: A Human-Inspired AI for Automated Systems Design and Optimization

1. 1Design a multi-agent workflow that mimics human collaboration and expertise
2. 2Implement large language models (LLMs) as agents for reasoning, experimentation, and analysis
3. 3Develop an evaluation framework that integrates empirical feedback with abstract reasoning
4. 4Test and refine the Glia architecture for networked systems design and optimization

This research benefits software engineers, AI engineers, and system architects by providing a novel approach to automating system design and optimization, potentially improving their workflow efficiency and system performance

💡 Glia's human-inspired multi-agent workflow enables autonomous design of mechanisms for computer systems on par with human experts

🤖 Glia: Human-inspired AI for automated system design & optimization using LLMs & multi-agent workflow 💻