Presentation
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Models
DescriptionIn engineering, the use of Large Language Models (LLMs) for specific domain code generation presents a significant challenge and an important area of study. These models are crucial in assisting programming and development tasks, but they often require substantial computational resources and extensive datasets. Our method focuses on improving data preprocessing and optimizing prompt engineering techniques. We propose using LLMs in the data preprocessing phase to create data embeddings that more accurately reflect their contextual meanings within a semantic space. This will improve the relevance and quality of the generated code.
Event Type
Engineering Track Poster
TimeTuesday, June 255:29pm - 5:30pm PDT
LocationLevel 2 Exhibit Hall
Back-End Design
Embedded Systems
Front-End Design
IP