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
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
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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
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
White House compares industrial revolution with AI eraAI News A White House paper titled “Artificial Intelligence and the Great Divergence” sets out parallels between the effects of the industrial revolution in the 18th and 19th centuries and the current times, with artificial intelligence positioned as guiding the way the world’s economies will be shaped. Artificial intelligence now sits at the centre of US economic
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A White House paper titled “Artificial Intelligence and the Great Divergence” sets out parallels between the effects of the industrial revolution in the 18th and 19th centuries and the current times, with artificial intelligence positioned as guiding the way the world’s economies will be shaped. Artificial intelligence now sits at the centre of US economic
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Top 7 Coding Plans for Vibe CodingKDnuggets API bills are killing vibe coding. These seven coding plans let you ship faster without watching token costs.
API bills are killing vibe coding. These seven coding plans let you ship faster without watching token costs. Read More
Masumi Network: How AI-blockchain fusion adds trust to burgeoning agent economyAI News 2026 will see forward-thinking organisations building out their squads of AI agents across roles and functions. But amid the rush, there is another aspect to consider. One of IDC’s enterprise technology predictions for the coming five years, published in October, was fascinating. “By 2030, up to 20% of [global 1000] organisations will have faced lawsuits,
The post Masumi Network: How AI-blockchain fusion adds trust to burgeoning agent economy appeared first on AI News.
2026 will see forward-thinking organisations building out their squads of AI agents across roles and functions. But amid the rush, there is another aspect to consider. One of IDC’s enterprise technology predictions for the coming five years, published in October, was fascinating. “By 2030, up to 20% of [global 1000] organisations will have faced lawsuits,
The post Masumi Network: How AI-blockchain fusion adds trust to burgeoning agent economy appeared first on AI News. Read More
Franny Hsiao, Salesforce: Scaling enterprise AIAI News Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in
The post Franny Hsiao, Salesforce: Scaling enterprise AI appeared first on AI News.
Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in
The post Franny Hsiao, Salesforce: Scaling enterprise AI appeared first on AI News. Read More
Machine Learning in Production? What This Really MeansTowards Data Science From notebooks to real-world systems
The post Machine Learning in Production? What This Really Means appeared first on Towards Data Science.
From notebooks to real-world systems
The post Machine Learning in Production? What This Really Means appeared first on Towards Data Science. Read More
Deloitte sounds alarm as AI agent deployment outruns safety frameworksAI News A new report from Deloitte has warned that businesses are deploying AI agents faster than their safety protocols and safeguards can keep up. Therefore, serious concerns around security, data privacy, and accountability are spreading. According to the survey, agentic systems are moving from pilot to production so quickly that traditional risk controls, which were designed
The post Deloitte sounds alarm as AI agent deployment outruns safety frameworks appeared first on AI News.
A new report from Deloitte has warned that businesses are deploying AI agents faster than their safety protocols and safeguards can keep up. Therefore, serious concerns around security, data privacy, and accountability are spreading. According to the survey, agentic systems are moving from pilot to production so quickly that traditional risk controls, which were designed
The post Deloitte sounds alarm as AI agent deployment outruns safety frameworks appeared first on AI News. Read More
Federated Learning, Part 2: Implementation with the Flower Framework 🌼Towards Data Science Implementing cross-silo federated learning step by step
The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science.
Implementing cross-silo federated learning step by step
The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science. Read More