Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning

Documenti analoghi

• Ten simple rules for training scientists to make better software
  di: Gallagher, Kit, et al.
  Pubblicazione: (2024)
• Enhancing software product lines with machine learning components
  di: Cobaleda, Luz-Viviana, et al.
  Pubblicazione: (2025)
• A survey of generative AI adoption and perceived productivity among scientists who program
  di: O'Brien, Gabrielle, et al.
  Pubblicazione: (2025)
• Private GPTs for LLM-driven testing in software development and machine learning
  di: Jagielski, Jakub, et al.
  Pubblicazione: (2025)
• NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
  di: Mikhalev, Aleksandr, et al.
  Pubblicazione: (2025)