March 6, 2024, 9 a.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

In an era where uncertainty shadows many aspects of decision-making, particularly in high-stakes fields like business, finance, and agriculture, the quest for tools to navigate this fog of unpredictability is more pressing than ever. Decision-making methods often need to be revised when faced with complex, multifaceted problems, leaving a gap that neither human expertise nor […]


The post USC Researchers Propose DeLLMa (Decision-making Large Language Model Assistant): A Machine Learning Framework Designed to Enhance Decision-Making Accuracy in Uncertain Environments appeared …

accuracy agriculture ai paper summary ai shorts applications artificial intelligence assistant business decision editors pick environments fields finance framework language language model large language large language model machine machine learning making quest researchers staff tech news technology tools uncertain uncertainty usc

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Director, Clinical Data Science

@ Aura | Remote USA

Research Scientist, AI (PhD)

@ Meta | Menlo Park, CA | New York City