Видео с ютуба Autoregressive Transformers

Модели трансформеров: Декодеры

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

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained)
L19.5.2.6 BART: Combining Bidirectional and Auto-Regressive Transformers

L19.5.2.6 BART: Combining Bidirectional and Auto-Regressive Transformers
Почему диффузия работает лучше, чем авторегрессия?

Почему диффузия работает лучше, чем авторегрессия?
Autoregressive Transformer Algorithm

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

Attention in transformers, step-by-step | Deep Learning Chapter 6
Large Language Models explained briefly

Large Language Models explained briefly
What are Transformers (Machine Learning Model)?

What are Transformers (Machine Learning Model)?
How do Chatbots Actually Work? (Tokens, Transformer Neural Network, Autoregressive Model)

How do Chatbots Actually Work? (Tokens, Transformer Neural Network, Autoregressive Model)
Transformers, the tech behind LLMs | Deep Learning Chapter 5

Transformers, the tech behind LLMs | Deep Learning Chapter 5
Transformer-based Double-token Bidirectional Autoregressive Decoding in Neural Machine Translation

Transformer-based Double-token Bidirectional Autoregressive Decoding in Neural Machine Translation
Chu-Cheng Lin: Limitations of Autoregressive Models and Their Alternatives

Chu-Cheng Lin: Limitations of Autoregressive Models and Their Alternatives
Beyond position: how rotary embeddings shape representations andmemory in autoregressive transfomers

Beyond position: how rotary embeddings shape representations andmemory in autoregressive transfomers
Autoregressive vs Masked Models: LLM Training, Use Cases, and AI Career Skills

Autoregressive vs Masked Models: LLM Training, Use Cases, and AI Career Skills
Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!

Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
FARMER: Flow AutoRegressive Transformers over Pixels (CVPR 2026)

FARMER: Flow AutoRegressive Transformers over Pixels (CVPR 2026)
Text Summarization using BART Transformer | NLP | Transformers | BART

Text Summarization using BART Transformer | NLP | Transformers | BART
KV Cache: The Trick That Makes LLMs Faster

KV Cache: The Trick That Makes LLMs Faster
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention