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gptkbp:instance_of
|
gptkb:Model
|
|
gptkbp:architecture
|
encoder-decoder
|
|
gptkbp:can_be_fine_tuned_for
|
specific tasks
|
|
gptkbp:can_create
|
natural language text
|
|
gptkbp:conducts_research_on
|
gptkb:machine_learning
AI ethics
NLP advancements
|
|
gptkbp:developed_by
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gptkb:Google_Research
|
|
gptkbp:has_achieved
|
performance on various benchmarks
|
|
gptkbp:has_function
|
770 million
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
T5-large
|
|
gptkbp:is_a
|
gptkb:Transformers
|
|
gptkbp:is_available_on
|
gptkb:Hugging_Face_Model_Hub
|
|
gptkbp:is_based_on
|
gptkb:Transformers
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_evaluated_by
|
gptkb:GLUE_benchmark
|
|
gptkbp:is_part_of
|
gptkb:T5_family
|
|
gptkbp:is_trained_in
|
C4 dataset
|
|
gptkbp:is_used_for
|
gptkb:translator
question answering
text generation
text summarization
text classification
|
|
gptkbp:is_used_in
|
dialog systems
content creation
sentiment analysis
chatbots
data augmentation
information retrieval
semantic search
text mining
language modeling
virtual assistants
named entity recognition
research and industry applications
|
|
gptkbp:performance
|
gptkb:T5-small
gptkb:GPT-3
gptkb:BERT
gptkb:T5-base
gptkb:Distil_BERT
gptkb:ELECTRA
gptkb:Ro_BERTa
gptkb:XLNet
gptkb:T5-3_B
ALBERT
ERNIE
|
|
gptkbp:released_in
|
gptkb:2020
|
|
gptkbp:requires
|
substantial computational resources
|
|
gptkbp:supports
|
multiple NLP tasks
|
|
gptkbp:uses
|
text-to-text framework
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:Transformers
|
|
gptkbp:bfsLayer
|
4
|