AI

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human…

Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output….

LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple…

Discover the best risk-based adaptive authentication solutions with single sign-on (SSO) capabilities. See features such as conditional access methods, and offline multi-factor…

“We’re getting noticed,” said Seto Baghdoyan, director of forensic audits and investigative services at the GAO, in an interview with MIT Technology…

Our research on multi-factor authentication (MFA) solutions highlights various adaptive authentication methods (e.g., offline authentication) offered by leading software providers. To highlight…

As children increasingly consume media on devices, parents look for ways this usage can support learning and growth, especially in domains like…

Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data science team’s…

Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one…