Conveners
Large Language Models(LLMs) in RSE
- Felipe Donoso Aguirre
The rapid increase of Machine Learning (ML) models and the research associated with them has created a need for efficient tools to discover, understand, and utilize these resources. Researchers often need help traversing the large collection of ML repositories and finding models that align with their specific requirements, such as open-source availability, FAIR principles, and performance...
Collaborative software development for demands rigorous code review processes to ensure maintainability, reliability, and efficiency. This work explores the integration of Large Language Models (LLMs) into the code review process, with a focus on utilizing both commercial and open models. We present a comprehensive code review workflow that incorporates LLMs, integrating various enhancements...
Recent advances in large language models (LLMs) like chatGPT have demonstrated their potential for generating human-like text and reasoning about topics with natural language. However, applying these advanced LLMs requires significant compute resources and expertise that are out of reach for most academic researchers. To make scientific LLMs more accessible, we have developed Helmholtz...
