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Category: Machine Learning

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DeepSeek AI Releases DeepGEMM: An FP8 GEMM Library that Supports both Dense and MoE GEMMs Powering V3/R1 Training and Inference
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DeepSeek AI Releases DeepGEMM: An FP8 GEMM Library that Supports both Dense and MoE GEMMs Powering V3/R1 Training and Inference

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Efficient matrix multiplications remain a critical component in modern deep learning and high-performance computing. As models become increasingly complex, conventional […]

Grok’s new “unhinged” voice mode can curse and scream, simulate phone sex
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Grok’s new “unhinged” voice mode can curse and scream, simulate phone sex

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On Sunday, xAI released a new voice interaction mode for its Grok 3 AI model that is currently available to […]

Open-Reasoner-Zero: An Open-source Implementation of Large-Scale Reasoning-Oriented Reinforcement Learning Training
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Open-Reasoner-Zero: An Open-source Implementation of Large-Scale Reasoning-Oriented Reinforcement Learning Training

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Large-scale reinforcement learning (RL) training of language models on reasoning tasks has become a promising technique for mastering complex problem-solving […]

DeepSeek AI Releases DeepEP: An Open-Source EP Communication Library for MoE Model Training and Inference
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DeepSeek AI Releases DeepEP: An Open-Source EP Communication Library for MoE Model Training and Inference

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Large language models that use the Mixture-of-Experts (MoE) architecture have enabled significant increases in model capacity without a corresponding rise […]

Building an Interactive Weather Data Scraper in Google Colab: A Code Guide to Extract, Display, and Download Live Forecast Data Using Python, BeautifulSoup, Requests, Pandas, and Ipywidgets
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Building an Interactive Weather Data Scraper in Google Colab: A Code Guide to Extract, Display, and Download Live Forecast Data Using Python, BeautifulSoup, Requests, Pandas, and Ipywidgets

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In this tutorial, we will build an interactive web scraping project in Google Colab! This guide will walk you through […]

This AI Paper from Menlo Research Introduces AlphaMaze: A Two-Stage Training Framework for Enhancing Spatial Reasoning in Large Language Models
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This AI Paper from Menlo Research Introduces AlphaMaze: A Two-Stage Training Framework for Enhancing Spatial Reasoning in Large Language Models

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Artificial intelligence continues to advance in natural language processing but still faces challenges in spatial reasoning tasks. Visual-spatial reasoning is […]

Claude 3.7 Sonnet debuts with “extended thinking” to tackle complex problems
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Claude 3.7 Sonnet debuts with “extended thinking” to tackle complex problems

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An example of Claude 3.7 Sonnet with extended thinking is asked, “Would the color be called ‘magenta’ if the town […]

Optimizing LLM Reasoning: Balancing Internal Knowledge and Tool Use with SMART
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Optimizing LLM Reasoning: Balancing Internal Knowledge and Tool Use with SMART

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Recent advancements in LLMs have significantly improved their reasoning abilities, enabling them to perform text composition, code generation, and logical […]

Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents
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Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents

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The ambition to accelerate scientific discovery through AI has been longstanding, with early efforts such as the Oak Ridge Applied […]

Microsoft Researchers Introduces BioEmu-1: A Deep Learning Model that can Generate Thousands of Protein Structures Per Hour on a Single GPU
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Microsoft Researchers Introduces BioEmu-1: A Deep Learning Model that can Generate Thousands of Protein Structures Per Hour on a Single GPU

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Proteins are the essential component behind nearly all biological processes, from catalyzing reactions to transmitting signals within cells. While advances […]

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