|
gptkbp:instance_of
|
gptkb:neural_networks
|
|
gptkbp:composed_of
|
Decoder
Encoder
|
|
gptkbp:designed_by
|
Vaswani et al.
|
|
gptkbp:enables
|
Long-Range Dependencies
|
|
gptkbp:has_component
|
gptkb:Feed-Forward_Neural_Network
Multi-Head Attention
Positional Encoding
Residual Connections
Layer Normalization
|
|
gptkbp:has_variants
|
gptkb:Transformers
gptkb:BERT
gptkb:GPT
gptkb:T5
gptkb:Distil_BERT
gptkb:Ro_BERTa
gptkb:XLNet
gptkb:Swin_Transformer
ALBERT
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Transformer Architecture
|
|
gptkbp:improves
|
Parallelization
|
|
gptkbp:influenced_by
|
Attention Mechanism
Sequence-to-Sequence Models
|
|
gptkbp:introduced_in
|
gptkb:2017
|
|
gptkbp:is_adopted_by
|
gptkb:Microsoft
gptkb:Google
gptkb:Open_AI
gptkb:NVIDIA
gptkb:Facebook
|
|
gptkbp:is_applied_in
|
gptkb:translator
Text Generation
Text Summarization
|
|
gptkbp:is_documented_in
|
gptkb:Tutorials
gptkb:ar_Xiv
Online Courses
Research Papers
Technical Blogs
|
|
gptkbp:is_effective_against
|
Batch Processing
|
|
gptkbp:is_evaluated_by
|
BLEU Score
F1 Score
Perplexity
ROUGE Score
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_popular_in
|
Deep Learning Community
|
|
gptkbp:is_scalable
|
Large Datasets
|
|
gptkbp:is_used_in
|
gptkb:Search_Engines
Chatbots
Recommendation Systems
|
|
gptkbp:operational_use
|
Different Tasks
|
|
gptkbp:outperforms
|
gptkb:Recurrent_Neural_Networks
|
|
gptkbp:security
|
Noise in Data
|
|
gptkbp:supports
|
gptkb:stage_adaptation
|
|
gptkbp:used_for
|
gptkb:Natural_Language_Processing
|
|
gptkbp:uses
|
Self-Attention Mechanism
|
|
gptkbp:bfsParent
|
gptkb:Transformers
gptkb:Kevin
|
|
gptkbp:bfsLayer
|
4
|