In this tutorial, we walk you through setting up a fully functional bot in Google Colab that leverages Anthropic’s Claude […]
Category: Staff
Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained Efficiently on Ascend NPUs Using Simulation-Driven Architecture and System-Level Optimization
Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to […]
ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach LLMs Retrieval Without Real-Time Search
Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical […]
Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs with Agentic Reasoning and Dynamic Tool Use
LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and training approaches like RL. RL […]
ByteDance Open-Sources DeerFlow: A Modular Multi-Agent Framework for Deep Research Automation
ByteDance has released DeerFlow, an open-source multi-agent framework designed to enhance complex research workflows by integrating the capabilities of large […]
Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy
Language processing in enterprise environments faces critical challenges as business workflows increasingly depend on synthesising information from diverse sources, including […]
A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
As autonomous systems increasingly rely on large language models (LLMs) for reasoning, planning, and action execution, a critical bottleneck has […]
AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather […]
Google Redefines Computer Science R&D: A Hybrid Research Model that Merges Innovation with Scalable Engineering
Computer science research has evolved into a multidisciplinary effort involving logic, engineering, and data-driven experimentation. With computing systems now deeply […]
ServiceNow AI Released Apriel-Nemotron-15b-Thinker: A Compact Yet Powerful Reasoning Model Optimized for Enterprise-Scale Deployment and Efficiency
AI models today are expected to handle complex tasks such as solving mathematical problems, interpreting logical statements, and assisting with […]