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NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models AI updates on arXiv.org

NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models AI updates on arXiv.org

NoWag: A Unified Framework for Shape Preserving Compression of Large Language Modelscs.AI updates on arXiv.org arXiv:2504.14569v5 Announce Type: replace-cross
Abstract: Large language models (LLMs) exhibit remarkable performance across various natural language processing tasks but suffer from immense computational and memory demands, limiting their deployment in resource-constrained environments. To address this challenge, we propose NoWag (Normalized Weight and Activation Guided Compression), a unified framework for one-shot shape preserving compression algorithms. We apply NoWag to compress Llama-2 (7B, 13B, 70B) and Llama-3 (8B, 70B) models using two popular shape-preserving techniques: vector quantization (NoWag-VQ) and unstructured/semi-structured pruning (NoWag-P). Our results show that NoWag-VQ significantly outperforms state-of-the-art one-shot vector quantization methods, while NoWag-P performs competitively against leading pruning techniques. These findings highlight underlying commonalities between these compression paradigms and suggest promising directions for future research. Our code is available at https://github.com/LawrenceRLiu/NoWag

 arXiv:2504.14569v5 Announce Type: replace-cross
Abstract: Large language models (LLMs) exhibit remarkable performance across various natural language processing tasks but suffer from immense computational and memory demands, limiting their deployment in resource-constrained environments. To address this challenge, we propose NoWag (Normalized Weight and Activation Guided Compression), a unified framework for one-shot shape preserving compression algorithms. We apply NoWag to compress Llama-2 (7B, 13B, 70B) and Llama-3 (8B, 70B) models using two popular shape-preserving techniques: vector quantization (NoWag-VQ) and unstructured/semi-structured pruning (NoWag-P). Our results show that NoWag-VQ significantly outperforms state-of-the-art one-shot vector quantization methods, while NoWag-P performs competitively against leading pruning techniques. These findings highlight underlying commonalities between these compression paradigms and suggest promising directions for future research. Our code is available at https://github.com/LawrenceRLiu/NoWag Read More  

Security News
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Google Disrupts IPIDEA — One of the World’s Largest Residential Proxy Networks The Hacker Newsinfo@thehackernews.com (The Hacker News)

Google on Wednesday announced that it worked together with other partners to disrupt IPIDEA, which it described as one of the largest residential proxy networks in the world. To that end, the company said it took legal action to take down dozens of domains used to control devices and proxy traffic through them. As of […]

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ThreatsDay Bulletin: New RCEs, Darknet Busts, Kernel Bugs & 25+ More Stories The Hacker Newsinfo@thehackernews.com (The Hacker News)

This week’s updates show how small changes can create real problems. Not loud incidents, but quiet shifts that are easy to miss until they add up. The kind that affects systems people rely on every day. Many of the stories point to the same trend: familiar tools being used in unexpected ways. Security controls are […]

Security News
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SolarWinds Fixes Four Critical Web Help Desk Flaws With Unauthenticated RCE and Auth Bypass The Hacker Newsinfo@thehackernews.com (The Hacker News)

SolarWinds has released security updates to address multiple security vulnerabilities impacting SolarWinds Web Help Desk, including four critical vulnerabilities that could result in authentication bypass and remote code execution (RCE). The list of vulnerabilities is as follows – CVE-2025-40536 (CVSS score: 8.1) – A security control bypass vulnerability that could allow an unauthenticated Read More 

Daily AI News
Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads MarkTechPost

Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads MarkTechPost

Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic WorkloadsMarkTechPost Qwen3-Max-Thinking is Alibaba’s new flagship reasoning model. It does not only scale parameters, it also changes how inference is done, with explicit control over thinking depth and built in tools for search, memory, and code execution. Model scale, data, and deployment Qwen3-Max-Thinking is a trillion-parameter MoE flagship LLM pretrained on 36T tokens and built on
The post Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads appeared first on MarkTechPost.

 Qwen3-Max-Thinking is Alibaba’s new flagship reasoning model. It does not only scale parameters, it also changes how inference is done, with explicit control over thinking depth and built in tools for search, memory, and code execution. Model scale, data, and deployment Qwen3-Max-Thinking is a trillion-parameter MoE flagship LLM pretrained on 36T tokens and built on
The post Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads appeared first on MarkTechPost. Read More  

Daily AI News
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How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations MarkTechPost

How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial OperationsMarkTechPost In this tutorial, we implement a dual-agent governance system that applies Constitutional AI principles to financial operations. We demonstrate how we separate execution and oversight by pairing a Worker Agent that performs financial actions with an Auditor Agent that enforces policy, safety, and compliance. By encoding governance rules directly into a formal constitution and combining
The post How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations appeared first on MarkTechPost.

 In this tutorial, we implement a dual-agent governance system that applies Constitutional AI principles to financial operations. We demonstrate how we separate execution and oversight by pairing a Worker Agent that performs financial actions with an Auditor Agent that enforces policy, safety, and compliance. By encoding governance rules directly into a formal constitution and combining
The post How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations appeared first on MarkTechPost. Read More  

Security News
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Fake Moltbot AI Coding Assistant on VS Code Marketplace Drops Malware The Hacker Newsinfo@thehackernews.com (The Hacker News)

Cybersecurity researchers have flagged a new malicious Microsoft Visual Studio Code (VS Code) extension for Moltbot (formerly Clawdbot) on the official Extension Marketplace that claims to be a free artificial intelligence (AI) coding assistant, but stealthily drops a malicious payload on compromised hosts. The extension, named “ClawdBot Agent – AI Coding Assistant” (“clawdbot.clawdbot-agent”) Read More