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#transformer - page 5 | AI Briefing

Workspace Experiment

·2026.04.19 03:00

For months, I've been coding by hand the old-fashioned way

·2026.04.19 01:00

128x compression

·2026.04.17 00:00

ResBM Cuts Pipeline Communication by 128x

·2026.04.17 00:00

Parcae, a stable looped model that achieves higher performance with fewer parameters

·2026.04.16 09:00

DeepMind's Looped Transformer

·2026.04.14 09:00

Recursive Transformers for Compositional Generalization

·2026.04.14 05:00

1,200 images/sec OCR

·2026.04.13 23:00

CPU Same-Condition Reversal

·2026.04.13 03:00

In-Depth Analysis of Voice Cloning

·2026.04.10 14:00

Key Challenges and Solutions for Enterprise Generative AI

·2026.03.25 20:00

Is the Transformer Era Coming to an End?

·2026.03.25 20:00

Reinventing the Future of AI with Long Context Jamba Instruct

·2026.03.25 20:00

Will Machines Ever Have Intelligence

·2026.03.24 00:00

Optimizing LoRA Target Module Selection for Efficient Fine-Tuning

·2026.03.19 23:00

How to Recommend Destinations to Help Users in the Exploration Stage

·1·2026.03.13 03:00

How Should Long-Term User Modeling Change in a Local Super App

·2026.02.27 19:00

The MoE Structure and How It Works in Transformers

·2026.02.26 09:00

Netflix's MediaFM: A Multimodal AI Foundation Model for Media Understanding

·2026.02.24 03:00

The Resolution Hypothesis: Revealing the Correspondence Between Time Scales and Health Outcomes

·2026.02.23 00:00

Transformer for Tabular Data? Not a Transforming Robot

·2026.02.12 08:00

Diff-Transformer V2 Released

·2026.01.20 12:00

Falcon-H1-Arabic Model Released

·2026.01.05 18:00

Transformers v5 Overhauls Tokenizer Architecture

·2025.12.18 09:00

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