The Generative Unconstrained Intelligent Drug Engineering (GUIDE) program accelerates development of medical countermeasure candidates to redefine biological defense.
Topic: Natural Language Processing
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In two papers from the 2024 International Conference on Machine Learning, Livermore researchers investigate how LLMs perform under measurable scrutiny.
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A novel ML method discovers and predicts key data about networked devices.
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Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.
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AI/ML | Biology/Biomedicine | Co-Design | Collaborations | Compiler Technology | Computational Math | Computational Science | Computer Vision | Data Science | Deep Learning | Discrete Mathematics | Exascale | HPC Systems and Software | Natural Language Processing | Open-Source Software | Performance, Portability, and Productivity | Programming Languages and Models