Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a persistent challenge. Unlike text, where relatively few tokens are required, high-resolution images necessitate thousands of tokens, leading to quadratic growth in computational cost. As a result, most AR-based multimodal The post Meta AI Introduces Token-Shuffle: A Simple AI Approach to Reducing Image Tokens in Transformers appeared first on MarkTechPost.

Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, element positioning, or navigation logic can influence how users interact with websites. This becomes even more crucial for platforms that rely on extensive user engagement, such as e-commerce or content streaming services. One of the The post AgentA/B: A Scalable AI System Using LLM Agents that Simulate Real User Behavior to Transform Traditional A/B Testing on Live Web Platforms appeared first on MarkTechPost.

Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical challenge emerges when applying these models to real-world scenarios. While current implementations typically operate under the assumption that all necessary information is provided upfront in well-specified tasks, reality often presents incomplete or ambiguous situations. Users The post Google DeepMind Research Introduces QuestBench: Evaluating LLMs’ Ability to Identify Missing Information in Reasoning Tasks appeared first on MarkTechPost.

Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse tasks. “Slow-thinking” models such as OpenAI-o1 and Gemini-Thinking have made strides in deliberate analytical reasoning but often exhibit compromised performance on general visual understanding tasks, with increased tendencies toward visual hallucinations. As the field progresses The post Skywork AI Advances Multimodal Reasoning: Introducing Skywork R1V2 with Hybrid Reinforcement Learning appeared first on MarkTechPost.

At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations, or writing functioning code. Yet behind these polished demonstrations lies a stark reality. What works in controlled environments often fails when confronted with the demands of production systems. Industry surveys reveal the scale of this The post From GenAI Demos to Production: Why Structured Workflows Are Essential appeared first on MarkTechPost.