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Found 4 papers, 2 papers with code
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
Based on the findings of our study, which highlights the pervasive issue of license inconsistencies in large language models trained on code, our recommendation for both researchers and the community is to prioritize the development and adoption of best practices for dataset creation and management.
Language Models for Code Completion: A Practical Evaluation
InCoder outperformed the other models across all programming languages, highlighting the significance of training data and objectives.
On the Impact of Language Selection for Training and Evaluating Programming Language Models
The recent advancements in Transformer-based Language Models have demonstrated significant potential in enhancing the multilingual capabilities of these models.
A Survey on Distributed Machine Learning
The demand for artificial intelligence has grown significantly over the last decade and this growth has been fueled by advances in machine learning techniques and the ability to leverage hardware acceleration.
