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
Large Reasoning Models: Breakthroughs and Breaking Points in AI Problem-Solving Artificial intelligence has made remarkable strides, and Large Reasoning Models (LRMs) are at the forefront of this revolution. These models promise to deliver more than just answers, they aim to repl... AI research artificial intelligence benchmarking chain-of-thought large language models model limitations problem complexity reasoning
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 CACTUS Bridges AI and Cheminformatics for Accelerated Molecular Discovery Recent breakthroughs in artificial intelligence promise to revolutionize drug discovery, yet most language models struggle with the complexity of chemistry. CACTUS, a new open-source agent, aims to ch... AI agents cheminformatics drug discovery large language models molecular analysis open source prompt engineering
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
Automated Model Merging: How Evolutionary Optimization is Democratizing AI Innovation Building advanced AI models has traditionally required vast computational resources, high costs, and significant environmental impact. Now, a new method—evolutionary optimization for automated model m... AI models cross-domain AI evolutionary algorithms large language models machine learning optimization model merging open source AI
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
AlphaEvolve: How Gemini-Powered AI Is Shaping the Future of Algorithm Design Google is developing a future where AI agents not only create algorithms but also evolves them for peak efficiency. AlphaEvolve, developed with Google's Gemini large language models, delivers on this ... AI algorithm discovery data centers Gemini hardware design large language models mathematics optimization