Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers OtterHD: A High-Resolution Multi-modality Model In this paper, we present OtterHD-8B, an innovative multimodal model evolved from Fuyu-8B, specifically engineered to interpret high-resolution visual inputs with granular precision. Unlike conventional models that are constrained by fixed-size vision encoders, OtterHD-8B boasts the ability to... Unveiling Safety Vulnerabilities of Large Language Models As large language models become more prevalent, their possible harmful or inappropriate responses are a cause for concern. This paper introduces a unique dataset containing adversarial examples in the form of questions, which we call AttaQ, designed to provoke such harmful or inappropriate responses... How Much Consistency Is Your Accuracy Worth? Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relying on the same knowledge. To draw additional insights, we propose to complement consistency with relative consistency --... More featured content News Articles When should someone trust an AI assistant’s predictions? Artificial intelligence can discriminate on the basis of race and gender, and also age Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank How well do explanation methods for machine-learning models work? Tackling hard computational problems When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures Seeing the plasma edge of fusion experiments in new ways with artificial intelligence The problem with machine translation: beware the wisdom of the crowd Perfecting pitch perception Fine-Tuning Transformer Model for Invoice Recognition Nonsense can make sense to machine-learning models More news