ELECTRA

GPTKB entity

Statements (65)

Predicate	Object
gptkbp:instance_of	gptkb:Model
gptkbp:architecture	gptkb:Transformers
gptkbp:available_in	gptkb:Hugging_Face_Transformers
gptkbp:can_be_used_for	question answering sentiment analysis text generation text classification named entity recognition
gptkbp:developed_by	gptkb:Google_Research
gptkbp:has_achieved	higher efficiency lower training time
gptkbp:has_applications_in	language translation search engines content moderation chatbots information retrieval
gptkbp:has_variants	small, base, large
https://www.w3.org/2000/01/rdf-schema#label	ELECTRA
gptkbp:improves	fine-tuning tasks
gptkbp:influenced_by	GANs
gptkbp:introduced_in	gptkb:2020
gptkbp:is_based_on	gptkb:Transformers
gptkbp:is_compared_to	gptkb:GPT-2
gptkbp:is_evaluated_by	gptkb:GLUE_benchmark gptkb:SQu_AD gptkb:MNLI WNLI RTE QQP STS-B Co LA
gptkbp:is_known_for	flexibility high accuracy robustness fast inference
gptkbp:is_optimized_for	computational efficiency training speed model size
gptkbp:is_part_of	gptkb:AI_technology NLP research community
gptkbp:is_supported_by	research papers community contributions open-source code
gptkbp:is_tasked_with	natural language processing
gptkbp:is_trained_in	large text corpora
gptkbp:is_used_by	gptkb:engineers gptkb:developers gptkb:researchers data scientists
gptkbp:is_used_in	AI applications
gptkbp:mission	discriminative
gptkbp:performance	state-of-the-art
gptkbp:related_to	gptkb:BERT
gptkbp:supports	multiple languages
gptkbp:type	pre-trained language model
gptkbp:uses	masked language modeling generator-discriminator framework token embeddings
gptkbp:bfsParent	gptkb:T5-large gptkb:Attention_Is_All_You_Need gptkb:GLUE_benchmark gptkb:Transformer_Models gptkb:Hugging_Face gptkb:Super_GLUE_benchmark
gptkbp:bfsLayer	5