Parallax Scalable Local Linear Attention

Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' NVIDIA spotted a constraint hiding inside This video explains KVBuffer: IO-aware Serving for

Parallax Scalable Local Linear Attention - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' NVIDIA spotted a constraint hiding inside This video explains KVBuffer: IO-aware Serving for A visual walkthrough comparing a small Transformer model, Qwen 0.8B, with a small recurrent state model, RWKV-7 0.1B. The ... Unlock the genius-level engineering that makes Large Language Models (LLMs) possible. In this video, we pull back the curtain ... The Longformer extends the Transformer by introducing sliding window

In this AI Research Roundup episode, Alex discusses the paper: 'LT2:

Photo Gallery

Parallax: Scalable Local Linear Attention

Parallax: Parameterized Local Linear Attention for Language Modeling (May 2026)

Focused Linear Attention Explained in 3 Minutes!

NVIDIA fixed a FLAW in LINEAR ATTENTION nobody was talking about (Gated DeltaNet-2)

Lecture 60: Optimizing Linear Attention

Linear Attention Explained from First Principles (Transformers → RNNs)

Deep dive - Better Attention layers for Transformer models

KVBuffer Explained: Faster Linear Attention Serving by Buffering KVs

1-Minute Paper: Higher-order Linear Attention Explained

How LLMs Work: Transformer Attention vs RNN State

How to Scale LLMs: Flash Attention, ZeRO, & Parallelism | The Engineering Behind Massive AI Models

Longformer: The Long-Document Transformer

View Detailed Profile

Parallax: Scalable Local Linear Attention

Parallax: Scalable Local Linear Attention

In this AI Research Roundup episode, Alex discusses the paper: '

Parallax: Parameterized Local Linear Attention for Language Modeling (May 2026)

Parallax: Parameterized Local Linear Attention for Language Modeling (May 2026)

Title:

Focused Linear Attention Explained in 3 Minutes!

Focused Linear Attention Explained in 3 Minutes!

Softmax

NVIDIA fixed a FLAW in LINEAR ATTENTION nobody was talking about (Gated DeltaNet-2)

NVIDIA fixed a FLAW in LINEAR ATTENTION nobody was talking about (Gated DeltaNet-2)

NVIDIA spotted a constraint hiding inside

Lecture 60: Optimizing Linear Attention

Lecture 60: Optimizing Linear Attention

Speaker: Songlin Yang.

Linear Attention Explained from First Principles (Transformers → RNNs)

Linear Attention Explained from First Principles (Transformers → RNNs)

Attention

Deep dive - Better Attention layers for Transformer models

Deep dive - Better Attention layers for Transformer models

The self-

KVBuffer Explained: Faster Linear Attention Serving by Buffering KVs

KVBuffer Explained: Faster Linear Attention Serving by Buffering KVs

This video explains KVBuffer: IO-aware Serving for

1-Minute Paper: Higher-order Linear Attention Explained

1-Minute Paper: Higher-order Linear Attention Explained

Can

How LLMs Work: Transformer Attention vs RNN State

How LLMs Work: Transformer Attention vs RNN State

A visual walkthrough comparing a small Transformer model, Qwen 0.8B, with a small recurrent state model, RWKV-7 0.1B. The ...

How to Scale LLMs: Flash Attention, ZeRO, & Parallelism | The Engineering Behind Massive AI Models

How to Scale LLMs: Flash Attention, ZeRO, & Parallelism | The Engineering Behind Massive AI Models

Unlock the genius-level engineering that makes Large Language Models (LLMs) possible. In this video, we pull back the curtain ...

Longformer: The Long-Document Transformer

Longformer: The Long-Document Transformer

The Longformer extends the Transformer by introducing sliding window

2312.06635 - Gated Linear Attention Transformers with Hardware Efficient Training

2312.06635 - Gated Linear Attention Transformers with Hardware Efficient Training

title: Gated

Scaling Linear Attention with Sparse State Expansion

Scaling Linear Attention with Sparse State Expansion

Scaling Linear Attention

How Attention Got So Efficient [GQA/MLA/DSA]

How Attention Got So Efficient [GQA/MLA/DSA]

Attention

Rethinking Attention with Performers (Paper Explained)

Rethinking Attention with Performers (Paper Explained)

ai #research #

LT2: Linear-Time Looped Transformers

LT2: Linear-Time Looped Transformers

In this AI Research Roundup episode, Alex discusses the paper: 'LT2:

[QA] Linear Attention Sequence Parallelism

[QA] Linear Attention Sequence Parallelism

Introducing