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Category: Large Language Model

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NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI
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NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI

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The landscape of artificial intelligence continues to evolve rapidly, with breakthroughs that push the boundaries of what models can achieve […]

Qwen Releases Qwen3-Coder-480B-A35B-Instruct: Its Most Powerful Open Agentic Code Model Yet
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Qwen Releases Qwen3-Coder-480B-A35B-Instruct: Its Most Powerful Open Agentic Code Model Yet

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Introduction Qwen has unveiled Qwen3-Coder-480B-A35B-Instruct, their most powerful open agentic code model released to date. With a distinctive Mixture-of-Experts (MoE) architecture […]

Allen Institute for AI-Ai2 Unveils AutoDS: A Bayesian Surprise-Driven Engine for Open-Ended Scientific Discovery
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Allen Institute for AI-Ai2 Unveils AutoDS: A Bayesian Surprise-Driven Engine for Open-Ended Scientific Discovery

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The Allen Institute for Artificial Intelligence (AI2) has introduced AutoDS (Autonomous Discovery via Surprisal), a groundbreaking prototype engine for open-ended […]

MIRIX: A Modular Multi-Agent Memory System for Enhanced Long-Term Reasoning and Personalization in LLM-Based Agents
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MIRIX: A Modular Multi-Agent Memory System for Enhanced Long-Term Reasoning and Personalization in LLM-Based Agents

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Recent developments in LLM agents have largely focused on enhancing capabilities in complex task execution. However, a critical dimension remains […]

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

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NVIDIA AI has introduced OpenReasoning-Nemotron, a family of large language models (LLMs) designed to excel in complex reasoning tasks across […]

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

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Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation […]

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How
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You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

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The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, […]

NVIDIA Just Released Audio Flamingo 3: An Open-Source Model Advancing Audio General Intelligence
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NVIDIA Just Released Audio Flamingo 3: An Open-Source Model Advancing Audio General Intelligence

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Heard about Artificial General Intelligence (AGI)? Meet its auditory counterpart—Audio General Intelligence. With Audio Flamingo 3 (AF3), NVIDIA introduces a […]

Gemini Embedding-001 Now Available: Multilingual AI Text Embeddings via Google API
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Gemini Embedding-001 Now Available: Multilingual AI Text Embeddings via Google API

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Google’s Gemini Embedding text model, gemini-embedding-001, is now generally available to developers via the Gemini API and Google AI Studio, bringing […]

SDBench and MAI-DxO: Advancing Realistic, Cost-Aware Clinical Reasoning with AI
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SDBench and MAI-DxO: Advancing Realistic, Cost-Aware Clinical Reasoning with AI

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AI has the potential to make expert medical reasoning more accessible, but current evaluations often fall short by relying on […]

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