Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR […]
Category: Editors Pick
AgentA/B: A Scalable AI System Using LLM Agents that Simulate Real User Behavior to Transform Traditional A/B Testing on Live Web Platforms
Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, […]
Google DeepMind Research Introduces QuestBench: Evaluating LLMs’ Ability to Identify Missing Information in Reasoning Tasks
Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical […]
Skywork AI Advances Multimodal Reasoning: Introducing Skywork R1V2 with Hybrid Reinforcement Learning
Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse […]
From GenAI Demos to Production: Why Structured Workflows Are Essential
At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations, […]
A Comprehensive Tutorial on the Five Levels of Agentic AI Architectures: From Basic Prompt Responses to Fully Autonomous Code Generation and Execution
In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous […]
Mila & Universite de Montreal Researchers Introduce the Forgetting Transformer (FoX) to Boost Long-Context Language Modeling without Sacrificing Efficiency
Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability […]
Microsoft Research Introduces MMInference to Accelerate Pre-filling for Long-Context Vision-Language Models
Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, […]
NVIDIA AI Releases OpenMath-Nemotron-32B and 14B-Kaggle: Advanced AI Models for Mathematical Reasoning that Secured First Place in the AIMO-2 Competition and Set New Benchmark Records
Mathematical reasoning has long presented a formidable challenge for AI, demanding not only an understanding of abstract concepts but also […]
Meta AI Releases Web-SSL: A Scalable and Language-Free Approach to Visual Representation Learning
In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, […]