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Building a Modern Async Configuration Management System with Type Safety and Hot Reloading
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Building a Modern Async Configuration Management System with Type Safety and Hot Reloading

In this tutorial, we guide you through the design and functionality of AsyncConfig, a modern, async-first configuration management library for Python. We build it from

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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence
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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence

Over the past decade, deep learning has revolutionized artificial intelligence, driving breakthroughs in image recognition, language modeling, and game playing. Yet, persistent limitations have surfaced:

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NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528
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NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528

NVIDIA AI has introduced OpenReasoning-Nemotron, a family of large language models (LLMs) designed to excel in complex reasoning tasks across mathematics, science, and code. This

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Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems
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Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems

A team of researchers from University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford and University College London presents a report explaining Deep Research

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MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
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MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation and sparse attention, models often

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Mirage: Multimodal Reasoning in VLMs Without Rendering Images
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Mirage: Multimodal Reasoning in VLMs Without Rendering Images

While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that

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GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning
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GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning

Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The complexity of multimodal intelligence tasks

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OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation
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OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation

On July 17, 2025, OpenAI launched ChatGPT Agent, transforming ChatGPT from a conversational assistant into a unified AI agent capable of autonomously executing complex, multi‑step tasks—from web browsing

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AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time
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AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time

The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to

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EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
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EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback

LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than

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