On Monday, Nvidia announced Project DIGITS, a small desktop computer aimed at researchers, data scientists, and students who want to […]
Category: Machine Learning
This AI Paper from Tel Aviv University Introduces GASLITE: A Gradient-Based Method to Expose Vulnerabilities in Dense Embedding-Based Text Retrieval Systems
Dense embedding-based text retrieval has become the cornerstone for ranking text passages in response to queries. The systems use deep […]
Researchers from USC and Prime Intellect Released METAGENE-1: A 7B Parameter Autoregressive Transformer Model Trained on Over 1.5T DNA and RNA Base Pairs
In a time when global health faces persistent threats from emerging pandemics, the need for advanced biosurveillance and pathogen detection […]
Enhancing Clinical Diagnostics with LLMs: Challenges, Frameworks, and Recommendations for Real-World Applications
Using LLMs in clinical diagnostics offers a promising way to improve doctor-patient interactions. Patient history-taking is central to medical diagnosis. […]
Sam Altman says “we are now confident we know how to build AGI”
On Sunday, OpenAI CEO Sam Altman offered two eye-catching predictions about the near-future of artificial intelligence. In a post titled […]
Dolphin 3.0 Released (Llama 3.1 + 3.2 + Qwen 2.5): A Local-First, Steerable AI Model that Puts You in Control of Your AI Stack and Alignment
Artificial intelligence has come a long way, transforming the way we work, live, and interact. Yet, challenges remain. Many AI […]
Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through Next-Token Prediction
Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability […]
ScreenSpot-Pro: The First Benchmark Driving Multi-Modal LLMs into High-Resolution Professional GUI-Agent and Computer-Use Environments
GUI agents face three critical challenges in professional environments: (1) the greater complexity of professional applications compared to general-use software, […]
Researchers from NVIDIA, CMU and the University of Washington Released ‘FlashInfer’: A Kernel Library that Provides State-of-the-Art Kernel Implementations for LLM Inference and Serving
Large Language Models (LLMs) have become an integral part of modern AI applications, powering tools like chatbots and code generators. […]
FutureHouse Researchers Propose Aviary: An Extensible Open-Source Gymnasium for Language Agents
Artificial intelligence (AI) has made significant strides in developing language models capable of solving complex problems. However, applying these models […]