Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made…
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LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model for Social Simulation with a User Pool of 10 Million Real Individuals
Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element.…
Lees meerMeta AI Introduces Token-Shuffle: A Simple AI Approach to Reducing Image Tokens in Transformers
Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR…
Lees meerAgentA/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,…
Lees meerGoogle 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…
Lees meerSkywork 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…
Lees meerFrom 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,…
Lees meerA 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…
Lees meerMila & 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…
Lees meerMicrosoft 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,…
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