About
The project goal is to use AI to streamline the CMS paper peer review process by improving the standardization, readability, and overall efficiency of scientific papers, ultimately making the CMS-internal peer review process faster. We are developing an AI-driven solution using the open-source LLaMA Large Language Models (LLMs) and fine-tune them with the Parameter Efficient Fine-Tuning (PEFT) approach with over 1300 published LaTeX source-documents from the CMS experiment..
0:00:00 Slide 1
0:01:14 Slide 2
0:02:35 Slide 3
0:05:07 Slide 4
The talk
Credits and licence
- Institution
- CERN
- Department
- CERN openlab Summer Student Programme 2024
- Speaker
- Annunziata Alvarez-Cascos Hervias
- Year
- 2024
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed