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#transformer - page 4 | AI Briefing

Language Models Need Sleep Too

·2026.05.27 00:00

Recent Trends in LLM Architecture: KV Sharing, mHC, and Compressed Attention

·1·2026.05.23 09:00

CODA Kernel for Transformer Optimization Released

·2026.05.23 04:00

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs

·2026.05.22 13:00

HRM-Text (GitHub repository)

·2026.05.19 09:00

PaddleOCR 3.5 Adds Transformers Backend Support

·2026.05.19 00:00

Image Restoration through the Combination of Fast Fourier Transform and Transformer (2024)

·2026.05.18 23:00

Orthrus-Qwen3-8B 7.8x Speedup

·2026.05.16 04:00

Orthrus: Diffusion-based Parallel Token Generation Technique Unveiled

·2026.05.16 02:00

Making LLMs Faster Without Sacrificing Accuracy

·2026.05.15 22:00

Asynchronizing continuous batching

·2026.05.15 00:00

Open-source PyTorch curvature library rewritten from scratch after 8 years

·2026.05.14 16:00

Attention Drift Discovered

·2026.05.13 04:00

SATFormer: An Efficient Representation Reuse Architecture

·2026.05.06 10:00

Probabilistic KV Routing: Adaptive Layer-wise Cache Sharing

·2026.05.05 09:00

Transformers Are Inherently Succinct

·2026.05.05 05:00

Implementing a Transformer in C++17

·2026.05.03 03:00

An RPN Calculator Built with a Transformer

·2026.04.30 23:00

Meta Sapiens2 Human-Centric Vision Model GitHub Repository

·2026.04.29 09:00

Recurrent Transformer: Greater Effective Depth and Efficient Decoding

·2026.04.29 09:00

From scratch with a 5080

·2026.04.22 01:00

Soul Player C64 – a real transformer running on a 1MHz Commodore 64

·2026.04.21 04:00

A New Axis for Depth Scaling

·2026.04.20 03:00

OpenMythos: Open-Source Implementation Reverse-Engineering Claude Mythos Released

·2026.04.20 00:00

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