April 10, 2024, 1:08 a.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

The evolution of artificial intelligence through the development of Large Language Models (LLMs) has marked a significant milestone in the quest to mirror human-like abilities in generating text, reasoning, and decision-making. However, aligning these models with human ethics and values has remained complex. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have made […]


The post Microsoft AI Introduces Direct Nash Optimization (DNO): A Scalable Machine Learning Algorithm that Combines the Simplicity and Stability of Contrastive Learning with …

ai paper summary ai shorts algorithm applications artificial artificial intelligence decision development editors pick evolution general human human-like intelligence language language models large language large language models llms machine machine learning making microsoft microsoft ai optimization quest reasoning scalable simplicity stability staff tech news technology text through

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

Software Engineer, Machine Learning (Tel Aviv)

@ Meta | Tel Aviv, Israel

Senior Data Scientist- Digital Government

@ Oracle | CASABLANCA, Morocco