Sakana's AB-MCTS Unlocks AI Collective Intelligence at Inference Time Sakana AI introduces AB-MCTS (Adaptive Branching Monte Carlo Tree Search), a cutting-edge algorithm that enables multiple frontier AI models to collaborate during inference. Rather than relying solely... AB-MCTS AI collaboration ARC-AGI-2 collective intelligence inference-time scaling large language models Monte Carlo Tree Search TreeQuest
MIT's CodeSteer Helps Language Models Outsmart Complex Problems Large language models (LLMs) have dramatically changed our relationship with AI, offering impressive fluency in language understanding and generation. Yet, when these models confront tasks that demand... AI coaching algorithmic tasks artificial intelligence code generation large language models machine learning MIT research symbolic reasoning
AMD Ryzen AI Max+ Upgrade: Powering 128B-Parameter LLMs Locally on Windows PCs With AMD's latest update deploying massive language models, up to 128 billion parameters, directly on your Windows laptop is now a possible. AMD’s Ryzen AI Max+ is a breakthrough that brings state-of-... AMD context window large language models LLM deployment local AI quantization Ryzen AI Windows AI
How AI is Revolutionizing Scientific Writing and Research Artificial intelligence is rapidly transforming the landscape of scientific research by streamlining complex workflows and boosting efficiency, tools like ChatGPT and GPT-4 are making scientific writi... academic publishing AI ethics artificial intelligence large language models literature review research productivity science communication science writing
NVIDIA Helix Parallelism Powers Real-Time AI with Multi-Million Token Contexts AI assistants recalling months of conversation, legal bots parsing vast case law libraries, or coding copilots referencing millions of lines of code, all while delivering seamless, real-time responses... AI inference GPU optimization KV cache large language models NVIDIA Blackwell parallelism real-time AI
MIT’s CodeSteer Is Coaching AI to Outsmart Complex Problems MIT researchers have built CodeSteer, a smart assistant designed to help large language models (LLMs) seamlessly alternate between generating text and writing code by utilizing a "coach" to evaluate t... AI code generation CodeSteer large language models machine learning MIT research problem solving symbolic reasoning
AI in Radiology: RadGPT is Making Medical Reports Patient-Friendly Medical reports, especially those in radiology, are often filled with terminology that can overwhelm even the most diligent patient. Now, Stanford researchers are changing the landscape with RadGPT , ... AI healthcare large language models medical reports patient communication RadGPT radiology Stanford research
Feedback-Driven Methods Are Transforming Prompt Engineering Prompt engineering is crucial for maximizing the capabilities of large language models (LLMs), but it has traditionally required significant manual effort and specialized know-how. As new tasks and mo... AI research automation efficiency feedback loops large language models machine learning prompt optimization
vLLM Is Transforming High-Performance LLM Deployment Deploying large language models at scale is no small feat, but vLLM is rapidly emerging as a solution for organizations seeking robust, efficient inference engines. Originally developed at UC Berkeley... AI inference GPU optimization Kubernetes large language models memory management model deployment vLLM
How AI Is Changing Pediatric ADHD Chart Reviews and Care Imagine transforming weeks of tedious chart reviews into just minutes of actionable insights. This is now possible thanks to Stanford Medicine researchers, who leveraged artificial intelligence ( AI )... ADHD AI clinical care ethics healthcare research large language models medical records pediatrics
Themis AI Is Teaching AI Models to Recognize Their Own Uncertainty Artificial intelligence is making waves in critical industries, yet a major challenge remains: most AI systems struggle to recognize and communicate when they are unsure. The risks become clear in hig... AI uncertainty bias detection drug discovery edge computing large language models machine learning model reliability
Jailbreaking AI Chatbots: Understanding the Flaw and the Path to Safer AI Imagine asking an AI chatbot for dangerous instructions and having it comply simply by rephrasing your request. This alarming scenario is all too real, as Princeton engineers have discovered a fundame... AI ethics AI safety chatbots cybersecurity deep alignment jailbreaking large language models Princeton research