Latest updates for Self Attention

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Recent items include:

  • What Is Attention Calculating?
  • Attention Is All You Need — The Birth of Transformers
  • You Don’t Actually Understand Attention. Neither Did I, Until I Rebuilt It From Scratch.

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medium.com /3 weeks ago

What Is Attention Calculating?

Follow five tokens through dot products and causal masking to the weighted vector an attention head actually produces.Continue reading on Medium »

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medium.com /4 weeks ago

Attention Is All You Need — The Birth of Transformers

If you have followed this series from the beginning, you’ve probably noticed a pattern. Every major breakthrough in deep learning solved…Continue reading on Medium »

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medium.com /1 month ago

You Don’t Actually Understand Attention. Neither Did I, Until I Rebuilt It From Scratch.

A tutorial disguised as a confession, walking through the mechanism that quietly runs almost every frontier model, one honest step at a…Continue reading on Medium »

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medium.com /1 week ago

LLM Coding Interview Series: 6/30 [Multi-Head, Multi-Query, and Grouped-Query Attention from…

Part 6 of the LLM Coding Interview Series ·Continue reading on Models to Systems »

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medium.com /2 weeks ago

Where Do Queries, Keys, and Values Come From?

Calculate how learned projection matrices turn a token state into attention inputs, then change one weight and inspect the scores.Continue reading on Medium »

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medium.com /2 weeks ago

Attention Is All You Need — for Retrieval Too?

Wait, is external retrieval in RAG actually redundant?Continue reading on AI Exploration Journey »

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medium.com /2 weeks ago

Why Can’t Transformers Just Rearrange Their Matrix Multiplications?

Linear attention unlocks a matrix multiplication trick that standard attention can't use, but the speedup comes at a cost.Continue reading on Medium »

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towardsdatascience.com /1 month ago

CBAM Paper Walkthrough: The Double-Attention Mechanism

Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared first...

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dev.to /1 month ago

Attention Is All You Need: The Translation Problem That Led to ChatGPT

In the spring of 2017, Aidan Gomez was twenty years old, interning at Google, and sleeping in the office. At three in the morning, he and Ashish Vaswani were still working in a Go...

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marktechpost.com /1 month ago

Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers

Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (DiTs). It targets 2 problems at once: value quantization erro...

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uxdesign.cc /3 weeks ago

The economics of attention in the age of AI

When machines pay attention, what deserves ours?AI filtering the information reaching us, shaping the economics of human attention. AI-generated visual, Aurélie Radom ©For decades,...

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themarginalian.org /1 month ago

How We Render Reality: Attention as an Instrument of Love

"Since our consciousness plays some part in what comes into being, the play of attention can both create and destroy, but it never leaves its object unchanged."

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towardsdatascience.com /1 month ago

Why Transformers Need Positional Encoding For Time Series: A Visual Guide

From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding For Time Series: A Visual Guid...

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aws.amazon.com /4 days ago

Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch

Learn how i14 trained and served Laplace 3B, a linear attention model, on AWS Trainium2 using native PyTorch. Its recurrent state stays fixed at 29.5 MB per sequence regardless of...

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bioengineer.org /2 weeks ago

New Attention-Driven AI Matches People Across Cameras Without Any Labels

Researchers have developed DELTA, an unsupervised domain adaptation model that combines a grouped divergence attention module with self-paced deep clustering to match people across...

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towardsdatascience.com /4 weeks ago

Your LLM Has a Curved Space of Paragraphs

Inside a transformer, token index is a coordinate. Paragraph structure is what turns it into a metric. The post Your LLM Has a Curved Space of Paragraphs appeared first on Towards...

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uxdesign.cc /4 days ago

Human attention is the new old bottleneck. We have to design for it even more.

A wide office floor where one person reads at a desk while dozens of screens around them keep filling with new work for them to address.Agents at Anthropic now log six hours for ev...

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mindful.org /6 days ago

Attention Is Our Original and Shared Vocation

A reflection on the late poet Mary Oliver, and what her work modeled for us and asks of us now. The post Attention Is Our Original and Shared Vocation appeared first on Mindful.

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habr.com /1 month ago

MoVA: новая архитектура внимания

Про архитектуру Mixture of Experts (MoE) слышал каждый, кто следит за ML: Mixtral и DeepSeek доказали эффективность динамического роутинга. Но пока индустрия осваивает базовый MoE,...

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medium.com /1 month ago

Why I Couldn’t Just Prompt My Way to a Working Small Model

I fine-tuned Gemma-3–270M on 379 examples of one reasoning step.Continue reading on Medium »

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pandaily.com /1 month ago

OPPO ColorOS 17 Adds On-Device Linear-Attention Model and Persona X Agents

At ODC 2026, OPPO unveiled ColorOS 17 with an on-device Linear Attention model (128K context, lower memory and energy), Persona X memory engine, and Agent Matrix upgrades for Breen...

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simplilearn.com /1 month ago

How LLMs Work: Transformer Architecture Explained | Simplilearn

TL;DR: Large language models process text through tokenization, embeddings, transformers, and self-attention. They are trained through pre-training, fine-tuning, and alignment, the...

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dzone.com /2 weeks ago

Does a Bigger Context Window Mean Better Memory: Understanding Context Windows, Model Memory, and RAG

The Confusion Starts With the Word Memory Imagine giving an AI assistant a large software repository, several months of incident reports, and a complete set of operating procedures...

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medium.com /1 week ago

What If AI’s Biggest Skill Was Knowing What to Ignore?

Intelligence is often associated with learning more, remembering more, and processing more information. But what if one of the most…Continue reading on Medium »

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feeds.dzone.com

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aws.amazon.com

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bioengineer.org

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dev.to

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habr.com

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medium.com

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