Browsing: AI & Robotics
Persona-Plug (PPlug): A Lightweight Plug-and-Play Model for Personalized Language Generation
Personalization is essential in many language tasks, as users with similar needs may prefer different outputs based on personal preferences.…
For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as…
Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning
Efficient optimization of large-scale deep learning models remains a significant challenge as the cost of training large language models (LLMs)…
Apple co-founder Steve Jobs described the computer as a bicycle for the mind. What the Martin Trust Center for MIT Entrepreneurship just launched…
This AI Paper from Centre for the Governance of AI Proposes a Grading Rubric for AI Safety Frameworks
AI safety frameworks have emerged as crucial risk management policies for AI companies developing frontier AI systems. These frameworks aim…
Study: Transparency is often lacking in datasets used to train large language models | MIT News
In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands…
Optimizing AI Safety and Deployment: A Game-Theoretic Approach to Protocol Evaluation in Untrusted AI Systems
AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an…
To the untrained eye, a medical image like an MRI or X-ray appears to be a murky collection of black-and-white…
What’s Slowing Down Text-to-Speech Systems—And How Can We Fix It? This AI Paper Present Super Monotonic Alignment Search
A significant challenge in text-to-speech (TTS) systems is the computational inefficiency of the Monotonic Alignment Search (MAS) algorithm, which is…
Ever been asked a question you only knew part of the answer to? To give a more informed response, your…