Building Transformer-Based NQS for Frustrated Spin Systems with NetKet

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Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting

Exploring the inner workings of a decoder-only Transformer foundation model The post Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting appeared first on Towards Data Science.

May 6, 3:00 PM

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A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows

In this tutorial, we explore Equinox, a lightweight and elegant neural network library built on JAX, and show how to use it. We begin by understanding how eqx.Module treats models as PyTrees, which makes parameter handling, transformation, and serialization feel simple and explicit. As we move forward, we work through static fields, filtered transformations such […] The post A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows appeared first on MarkTechPost.

Apr 22, 7:13 PM

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UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size

The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more tokens. But as inference deployments consume an ever-growing share of compute and model deployments push toward the edge, researchers are increasingly asking a harder question — can you scale quality […] The post UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size appeared first on MarkTechPost.

Apr 16, 8:30 AM

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I Built a Tiny Computer Inside a Transformer

By compiling a simple program directly into transformer weights. The post I Built a Tiny Computer Inside a Transformer appeared first on Towards Data Science.

Apr 13, 12:00 PM

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Anthropic’s new AI tool has implications for us all – whether we can use it or not | Shakeel Hashim

Claude Mythos’s apparent superhuman hacking abilities are alarming experts as the Trump administration remains blinded by hostility In June 2024, a cyber-attack on a pathology services company caused chaos across London’s hospitals. More than 10,000 appointments were cancelled. Blood shortages followed and delays to blood tests led to a patient’s death. Lethal cyber-attacks like this are thankfully rare. But a new AI release could change that – plunging us into a terrifying new world of chaos and disruption to the digital systems that we rely on. Shakeel Hashim is the editor of Transformer, a publication about the power and politics of transformative AI Continue reading...

Apr 10, 5:31 PM