Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Sep 2·5 min read
AgentFactory: Towards Automated Agentic System Design and Optimization
TL;DR
AgentFactory is a new framework that automates the design and optimization of agentic systems by jointly optimizing foundation models and workflows. It achieves an average performance improvement of 9.1% across various benchmarks, significantly enhancing domain-specific tasks.
✦ Why It Matters
Consider implementing AgentFactory to enhance your agentic system designs and optimize performance effectively.
Key Takeaways
- Explore AgentFactory for automating agentic system design.
- Utilize LLMs to optimize workflows and model configurations.
- Evaluate performance across multiple objectives, not just one.
- Apply findings to improve domain-specific task performance.
How It Works
AgentFactory employs a three-stage optimization pipeline that systematically explores the configuration space of foundation models and workflows. It uses large language models as optimizers to navigate this space, allowing for the discovery of effective combinations tailored to specific tasks.
The iterative process evaluates various designs, ensuring that the final configurations meet performance, cost, and efficiency criteria.