Large Language Model (LLM) Applications

Strengths of LLM in Engineering Applications

1. Design Generation

• LLMs can rapidly generate detailed designs across various applications, enhancing efficiency and creativity.

2. Process Automation

• Applying LLMs to specific tasks enables seamless integration with other computer-aided processes, facilitating comprehensive end-to-end process automation.

3. Feedback Integration

• LLMs can easily reflect user feedback to iteratively refine designs, processes, or models, improving overall quality.

Process of Developing Engineering Domain-Specialized LLM

1. Development of Engineering Datasets

1. • Curate engineering-specific datasets reflecting real-world conditions for model fine-tuning and retrieval-augmented generation (RAG).

2. Development of Multi-modal LLMs for Engineering Tasks

1. • Enable the processing and integration of diverse engineering data types, such as CAD designs, simulations, and sensor data.

3. Deployment in Engineering Workflow

1. • Ensure results align with physical principles by incorporating evaluation steps and adapting to user preferences.

My LLM Research

Reference

[1] S. Yin, C. Fu, S. Zhao, K. Li, X. Sun, T. Xu, and E. Chen, "A Survey on Multimodal Large Language Models," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. XX, no. XX, pp. 1-XX, Apr. 2024. [Online]. Available: https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models.