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gptkbp:instance_of
|
gptkb:Transformers
|
|
gptkbp:applies_to
|
natural language processing
|
|
gptkbp:based_on
|
text-to-text framework
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:focus_area
|
gptkb:true
|
|
gptkbp:has_achieved
|
state-of-the-art results
|
|
gptkbp:has_impact_on
|
NLP advancements
|
|
gptkbp:has_variants
|
gptkb:T5-large
gptkb:T5-small
gptkb:T5-base
gptkb:T5-11_B
gptkb:T5-3_B
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
T5 architecture
|
|
gptkbp:introduced_in
|
gptkb:2019
|
|
gptkbp:is_available_on
|
gptkb:Hugging_Face_Model_Hub
|
|
gptkbp:is_based_on
|
encoder-decoder architecture
|
|
gptkbp:is_characterized_by
|
text-to-text approach
|
|
gptkbp:is_considered
|
a benchmark model
a versatile model
|
|
gptkbp:is_designed_for
|
multi-task learning
|
|
gptkbp:is_documented_in
|
research papers
tutorials
technical blogs
|
|
gptkbp:is_evaluated_by
|
gptkb:GLUE_benchmark
gptkb:SQu_AD
gptkb:MNLI
gptkb:Super_GLUE_benchmark
gptkb:WMT
dialog systems
sentiment analysis
named entity recognition
coreference resolution
text entailment
human benchmarks
|
|
gptkbp:is_influenced_by
|
gptkb:GPT-2
gptkb:BERT
Transformer architecture
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
large-scale datasets
|
|
gptkbp:is_popular_in
|
gptkb:scientific_community
industry applications
|
|
gptkbp:is_related_to
|
gptkb:machine_learning
deep learning
NLP models
|
|
gptkbp:is_scalable
|
gptkb:true
|
|
gptkbp:is_supported_by
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_trained_in
|
C4 dataset
|
|
gptkbp:is_used_for
|
data augmentation
feature extraction
model fine-tuning
|
|
gptkbp:is_used_in
|
gptkb:translator
question answering
text generation
text summarization
text classification
|
|
gptkbp:supports
|
multiple tasks
|
|
gptkbp:uses
|
transfer learning
|
|
gptkbp:utilizes
|
pre-training and fine-tuning
|
|
gptkbp:bfsParent
|
gptkb:m_T5
gptkb:FLAN-T5
|
|
gptkbp:bfsLayer
|
6
|