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Category: Machine Learning

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Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models
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Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models

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Smaller Models with Smarter Performance and 256K Context Support Alibaba’s Qwen team has introduced two powerful additions to its small […]

OpenAI launches GPT-5 free to all ChatGPT users
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OpenAI launches GPT-5 free to all ChatGPT users

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Skip to content adventures in artificial intelligence New model claims fewer confabulations, better coding, and “safe completions” approach. On Thursday, […]

Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models
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Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models

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Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level […]

Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents
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Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents

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In today’s data-driven world, valuable insights are often buried in unstructured text—be it clinical notes, lengthy legal contracts, or customer […]

Tutorial: Exploring SHAP-IQ Visualizations
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Tutorial: Exploring SHAP-IQ Visualizations

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In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives […]

Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision
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Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision

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In this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision library. We begin by […]

DeepReinforce Team Introduces CUDA-L1: An Automated Reinforcement Learning (RL) Framework for CUDA Optimization Unlocking 3x More Power from GPUs
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DeepReinforce Team Introduces CUDA-L1: An Automated Reinforcement Learning (RL) Framework for CUDA Optimization Unlocking 3x More Power from GPUs

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Estimated reading time: 6 minutes Table of contents The Breakthrough: Contrastive Reinforcement Learning (Contrastive-RL) How Good Is CUDA-L1? Hard Data […]

Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks
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Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks

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MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to […]

MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon
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MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon

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Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models grow in size and expressivity. […]

How to Use the SHAP-IQ Package to Uncover and Visualize Feature Interactions in Machine Learning Models Using Shapley Interaction Indices (SII)
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How to Use the SHAP-IQ Package to Uncover and Visualize Feature Interactions in Machine Learning Models Using Shapley Interaction Indices (SII)

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In this tutorial, we explore how to use the SHAP-IQ package to uncover and visualize feature interactions in machine learning […]

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