Agentic Reasoning: Unveiling Deep Research with Multi-Agent Models

Agentic Reasoning: Unveiling Deep Research with Multi-Agent Models

Hello everyone! This is a channel focused on cutting-edge AI and agents~ Following the releases of Deep Research by Google, OpenAI, and Perplexity, the University of Oxford has published a paper titled “Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research” and has open-sourced the code. Today, let’s take a detailed look at their … Read more

Comprehensive Planning Scheme for AI Agent Architecture: The Closed Loop from Data Collection to Intelligent Decision-Making

Comprehensive Planning Scheme for AI Agent Architecture: The Closed Loop from Data Collection to Intelligent Decision-Making

The modern AI Agent architecture exhibits multi-layered and modular characteristics, with its core focused on building intelligent systems capable of autonomous perception, decision-making, and execution. This architecture achieves a complete closed loop from raw data to intelligent services through the organic collaboration of the data layer, model layer, strategy layer, and interaction layer. Data serves … Read more

Top Ten Technology Trends in China’s Industrial Internet Development in 2023

Top Ten Technology Trends in China's Industrial Internet Development in 2023

Trend One: Edge Computing The collaborative management and scheduling capabilities of cloud-edge-end accelerate the implementation of digital applications in production environments. In 2023, cloud architecture has become more complex, with continuous iterations of innovations such as distributed clouds, cloud-edge collaboration, edge autonomy, and edge-to-edge collaboration. Breakthroughs in collaborative management and scheduling capabilities at the cloud-edge-end … Read more

AI Empowered Embedded Course Teaching Reform Case

AI Empowered Embedded Course Teaching Reform Case

Click on the “blue text” above to follow us! Abstract: The traditional embedded course teaching model faces issues such as low student interest and initiative, rapid knowledge updates and iterations, a lack of practical cases, and a single evaluation format, which cannot meet the requirements for personalized learning. To address these issues, this case study … Read more