Mamba (deep learning architecture)

Deep learning architecture

Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri Dao from Princeton University to address some limitations of transformer models, especially in processing long sequences, and it is based on the Structured State Space sequence (S4) model.

Nº Q124362453 ★

Comum · Saberes

Mamba (deep learning architecture)

Deep learning architecture

Texto em inglês

Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri Dao from Princeton University to address some limitations of transformer models, especially in processing long sequences, and it is based on the Structured State Space sequence (S4) model.

Último preço

—

Preço mínimo

—

Mediana 7 d

—

Vendas 30 d

0

Faixa 30 d

—

Em circulação

0

Cotação

Ver tabela
Datamediana MínMáxvendas

Histórico de vendas

Última venda
—
Média 30 d
—
Mínima 30 d
—
Máxima 30 d
—
Vendas 7 d
0
Vendas 30 d
0

Ainda sem vendas.

Vendas anônimas: sem comprador nem vendedor. Os números contam só vendas entre jogadores.

Na Wikipédia

Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.

Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri Dao from Princeton University to address some limitations of transformer models, especially in processing long sequences, and it is based on the Structured State Space sequence (S4) model.

Texto: Wikipédia em inglês, CC BY-SA 4.0. · Imagem: Albert Gu & Tri Dao (CC BY 4.0) ·

Cartas próximas

Ver a ficha

Confirmação