Internship study published at QuASoQ 2024

Ramita Deeprom's research internship study at the Software Engineering Lab of Osaka University was published at the 12th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2024), co-located with APSEC 2024. The paper, “Challenges in Adopting LLaMA: An Empirical Study of Discussions on Stack Overflow”, analyzes discussions about Meta's LLaMA on Stack Overflow. Model configuration, error handling, and integration with other technologies are the most prominent topics. Frequent co-occurring tags show how LLaMA fits into the wider ecosystem of large language models and works with frameworks such as Python and Hugging Face Transformers. The findings call for better resources, documentation, and community support, especially for configuring and fine-tuning the model.