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An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal
  • agentic AI
  • AI
  • Artificial Intelligence
  • Editors Pick
  • Knowledge Graphs
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An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal

  • 0

In this tutorial, we implement IWE: an open-source, Rust-powered personal knowledge management system that treats markdown notes as a navigable […]

  • agentic AI
  • AI
  • AI Agents
  • AI Shorts
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  • Artificial Intelligence
  • Editors Pick
  • New Releases
  • Promote
  • Sponsored
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openJiuwen Community Releases ‘JiuwenClaw’: A Self Evolving AI Agent for Task Management

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Over the past year, AI agents have evolved from merely answering questions to attempting to get real tasks done. However, […]

Meta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli
  • AI
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  • Artificial Intelligence
  • Deep Learning
  • Editors Pick
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Meta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli

  • 0

Neuroscience has long been a field of divide and conquer. Researchers typically map specific cognitive functions to isolated brain regions—like […]

Google Releases Gemini 3.1 Flash Live: A Real-Time Multimodal Voice Model for Low-Latency Audio, Video, and Tool Use for AI Agents
  • agentic AI
  • AI
  • AI Agents
  • AI Shorts
  • Applications
  • Artificial Intelligence
  • Audio Language Model
  • Editors Pick
  • Language Model
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  • Voice AI

Google Releases Gemini 3.1 Flash Live: A Real-Time Multimodal Voice Model for Low-Latency Audio, Video, and Tool Use for AI Agents

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Google has released Gemini 3.1 Flash Live in preview for developers through the Gemini Live API in Google AI Studio. […]

A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization
  • agentic AI
  • AI
  • Artificial Intelligence
  • Editors Pick
  • Large Language Model
  • Staff
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A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization

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In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that […]

Cohere AI Releases Cohere Transcribe: A SOTA Automatic Speech Recognition (ASR) Model Powering Enterprise Speech Intelligence
  • AI
  • Artificial Intelligence
  • Audio Language Model
  • Editors Pick
  • Language Model
  • New Releases
  • Open Source
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  • TTS
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Cohere AI Releases Cohere Transcribe: A SOTA Automatic Speech Recognition (ASR) Model Powering Enterprise Speech Intelligence

  • 0

In the landscape of enterprise AI, the bridge between unstructured audio and actionable text has often been a bottleneck of […]

Tencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning
  • agentic AI
  • AI
  • Artificial Intelligence
  • Audio Language Model
  • Editors Pick
  • Language Model
  • New Releases
  • Sound
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Tencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning

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Tencent AI Lab has released Covo-Audio, a 7B-parameter end-to-end Large Audio Language Model (LALM). The model is designed to unify […]

NVIDIA AI Introduces PivotRL: A New AI Framework Achieving High Agentic Accuracy With 4x Fewer Rollout Turns Efficiently
  • agentic AI
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  • Artificial Intelligence
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NVIDIA AI Introduces PivotRL: A New AI Framework Achieving High Agentic Accuracy With 4x Fewer Rollout Turns Efficiently

  • 0

Post-training Large Language Models (LLMs) for long-horizon agentic tasks—such as software engineering, web browsing, and complex tool use—presents a persistent […]

  • agentic AI
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  • AI infrastructure
  • AI Paper Summary
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  • Editors Pick
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Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss

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The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. […]

Paged Attention in Large Language Models LLMs
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Paged Attention in Large Language Models LLMs

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When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because each request requires a […]

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