Видео с ютуба Autoregressive Transformers

Модели трансформеров: Декодеры

Почему диффузия работает лучше, чем авторегрессия?

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained)

What are Transformers (Machine Learning Model)?

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

[Paper Review] ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Lecture 16 Hybrid Autoregressive Transformer (HART)

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

FARMER: Flow AutoRegressive Transformers over Pixels (CVPR 2026)

Mastering Transformers | 4. Autoregressive and Other Language Models

Closed-Loop Transformers: Iterative Latent Equilibrium for Autoregressive Modeling

MIT's Hybrid Autoregressive Transformer Beats Diffusion Models on Speed

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Like LLMs, autoregressive transformers for action

Achieving Zero Shot Text to Image Generation with Autoregressive Transformers

VeriSilicon подробно описывает оптимизацию NPU для авторегрессионных и диффузионных трансформатор...

Part 17: TRANSFORMER NEURAL AUTOREGRESSIVE FLOWS

Tranception: Protein Fitness Prediction with Autoregressive transformers and Inferencetime Retrieval

Attention in transformers, step-by-step | Deep Learning Chapter 6

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training