AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation
📰 ArXiv cs.AI
AutoSAM is an agentic framework that automates input file generation for the SAM code using multi-modal retrieval-augmented generation
Action Steps
- Extract design data from heterogeneous engineering documents
- Reconcile extracted data and translate it into solver-specific syntax
- Utilize multi-modal retrieval-augmented generation to automate input file generation
- Integrate AutoSAM into existing workflows to improve overall efficiency
Who Needs to Know This
Researchers and engineers working on advanced reactor systems can benefit from AutoSAM, as it automates a labor-intensive task and improves efficiency
Key Insight
💡 AutoSAM can significantly reduce the labor required for input file generation, improving the overall efficiency of advanced reactor system design and safety analysis
Share This
💡 AutoSAM automates SAM input file generation using multi-modal retrieval-augmented generation
DeepCamp AI