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Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training

Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu...

computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods

Sep 20, 2025

0 2090

Papers

Microsoft TimeCraft For Synthetic Time-Series Data Generation

Time-series data is the backbone of critical decision-making in sectors such as healthcare, finance, and transportation. However, generating realistic and adaptable synthetic time-series data is a per...

AI frameworks data generation industry applications machine learning open source synthetic data time series

Sep 20, 2025

0 2101

News

How MXFP8, TorchAO, and TorchTitan Boost Large-Scale AI Training on Crusoe B200

Modern AI models are growing larger and more complex, demanding new solutions to speed up training without compromising accuracy. Recent experiments on the Crusoe B200 cluster , using 1,856 GPUs, show...

AI acceleration Crusoe B200 float8 large-scale training MXFP8 PyTorch quantization TorchAO

Sep 20, 2025

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Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion

Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ...

adaptation AI research deep learning generalization machine learning reasoning test-time diffusion

Sep 20, 2025

0 5599

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Break the Cycle: How to Build AI POCs That Actually Ship

Despite the hype, most AI proof of concepts (POCs) never make it past the demo stage. The issue isn’t just technical, teams often design POCs to impress executives, not to survive under real-world con...

AI POC cost management engineering best practices machine learning production readiness remocal workflow user-centered design

Sep 20, 2025

0 1826

News

Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models

Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee...

AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology

Sep 20, 2025

0 2629

Papers

Infinigraph Is Redefining Enterprise-Scale Graph Data Management

Enterprises are grappling with ever-growing, highly interconnected datasets, think of global fraud detection networks or AI-driven product catalogs. Traditional data systems often force organizations ...

AI applications AuraDB data architecture enterprise data graph database Infinigraph property sharding scalability

Sep 20, 2025

0 2101

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AI Is Powering Gravitational Wave Detection and Cosmic Discovery

Thanks to breakthrough advances in artificial intelligence, we are starting to be able to “hear” the universe’s faintest secrets. Google DeepMind’s Deep Loop Shaping method is now helping astronomers ...

AI astrophysics DeepMind gravitational waves LIGO noise reduction reinforcement learning scientific discovery

Sep 20, 2025

0 3773

News

How Reliable Are LLM Judges? Lessons from DataRobot's Evaluation Framework

Relying on automated judges powered by Large Language Models (LLMs) to assess AI output may seem efficient, but it comes with hidden risks. LLM judges can be impressively confident even when they're w...

AI benchmarking AI trust LLM evaluation machine learning open-source tools prompt engineering RAG systems

Sep 20, 2025

0 13035

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Alibaba Introduces Tongyi Deep Research for Knowledge Discovery

Tongyi Deep Research is Alibaba’s latest AI innovation that promises to transform how users gather and synthesize information from large, complex sources. With advanced large language models, this too...

academic tools AI research Alibaba business intelligence information synthesis knowledge discovery large language models

Sep 20, 2025

0 3718

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GSFit: Open-Source Plasma Reconstruction for Fusion Research

Achieving practical fusion energy depends on understanding plasma behavior inside tokamaks, fusion machines that host conditions hotter than the sun’s core. Tokamak Energy’s introduction of GSFit , an...

community collaboration diagnostics fusion energy Grad-Shafranov open source plasma reconstruction scientific software tokamak

Sep 20, 2025

0 1276

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Modernizing Ammonia Production: Plasma Catalysis and the Path to Sustainable Energy

Producing ammonia has long been a cornerstone of agriculture and industry, but the quest for safer, cheaper, and more efficient methods is accelerating. Innovative research from the Princeton Plasma P...

ammonia catalyst innovation clean energy decentralized production energy technology hydrogen storage plasma catalysis sustainability

Sep 20, 2025

0 2090

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