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Category: Artificial Intelligence

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Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute
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Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute

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Recent advances in large language models (LLMs) have encouraged the idea that letting models “think longer” during inference usually improves […]

Apple Researchers Introduce FastVLM: Achieving State-of-the-Art Resolution-Latency-Accuracy Trade-off in Vision Language Models
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Apple Researchers Introduce FastVLM: Achieving State-of-the-Art Resolution-Latency-Accuracy Trade-off in Vision Language Models

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Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for […]

MiroMind-M1: Advancing Open-Source Mathematical Reasoning via Context-Aware Multi-Stage Reinforcement Learning
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MiroMind-M1: Advancing Open-Source Mathematical Reasoning via Context-Aware Multi-Stage Reinforcement Learning

  • 0

Large language models (LLMs) have recently demonstrated remarkable progress in multi-step reasoning, establishing mathematical problem-solving as a rigorous benchmark for […]

Rubrics as Rewards (RaR): A Reinforcement Learning Framework for Training Language Models with Structured, Multi-Criteria Evaluation Signals
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Rubrics as Rewards (RaR): A Reinforcement Learning Framework for Training Language Models with Structured, Multi-Criteria Evaluation Signals

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Reinforcement Learning with Verifiable Rewards (RLVR) allows LLMs to perform complex reasoning on tasks with clear, verifiable outcomes, with strong […]

Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons
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Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons

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Amazon researchers developed a new AI architecture that cuts inference time by 30% by selecting only task-relevant neurons, similar to […]

Creating a Knowledge Graph Using an LLM
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Creating a Knowledge Graph Using an LLM

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In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional […]

Zhipu AI Just Released GLM-4.5 Series: Redefining Open-Source Agentic AI with Hybrid Reasoning
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Zhipu AI Just Released GLM-4.5 Series: Redefining Open-Source Agentic AI with Hybrid Reasoning

  • 0

The landscape of AI foundation models is evolving rapidly, but few entries have been as significant in 2025 as the […]

Building a Context-Aware Multi-Agent AI System Using Nomic Embeddings and Gemini LLM
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Building a Context-Aware Multi-Agent AI System Using Nomic Embeddings and Gemini LLM

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In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and […]

VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents
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VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents

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Embedding models act as bridges between different data modalities by encoding diverse multimodal information into a shared dense representation space. […]

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 […]

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