Introduction Amazon researchers have released Mitra, a cutting-edge foundation model purpose-built for tabular data. Unlike traditional approaches that tailor a bespoke […]
Category: Machine Learning
OpenAI and partners are building a massive AI data center in Texas
Stargate moves forward despite early skepticism When OpenAI announced Stargate in January, critics questioned whether the company could deliver on […]
Qwen Releases Qwen3-Coder-480B-A35B-Instruct: Its Most Powerful Open Agentic Code Model Yet
Introduction Qwen has unveiled Qwen3-Coder-480B-A35B-Instruct, their most powerful open agentic code model released to date. With a distinctive Mixture-of-Experts (MoE) architecture […]
OpenAI jumps gun on International Math Olympiad gold medal announcement
The early announcement has prompted Google DeepMind, which had prepared its own IMO results for the agreed-upon date, to move […]
Allen Institute for AI-Ai2 Unveils AutoDS: A Bayesian Surprise-Driven Engine for Open-Ended Scientific Discovery
The Allen Institute for Artificial Intelligence (AI2) has introduced AutoDS (Autonomous Discovery via Surprisal), a groundbreaking prototype engine for open-ended […]
Can LLM Reward Models Be Trusted? Master-RM Exposes and Fixes Their Weaknesses
Generative reward models, where large language models (LLMs) serve as evaluators, are gaining prominence in reinforcement learning with verifiable rewards […]
NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528
NVIDIA AI has introduced OpenReasoning-Nemotron, a family of large language models (LLMs) designed to excel in complex reasoning tasks across […]
MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation […]
EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from […]
AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time
The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data […]