|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:based_on
|
gptkb:Transformers_character
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:enables
|
faster training times
|
|
gptkbp:exhibited_at
|
high throughput
|
|
gptkbp:has
|
multiple experts per layer
|
|
gptkbp:has_achievements
|
state-of-the-art performance
better accuracy with fewer parameters
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Switch Transformer
|
|
gptkbp:improves
|
model efficiency
|
|
gptkbp:introduced
|
gptkb:2020
|
|
gptkbp:is_adopted_by
|
various tech companies
|
|
gptkbp:is_analyzed_in
|
machine learning studies
|
|
gptkbp:is_compared_to
|
dense models
|
|
gptkbp:is_considered
|
a significant advancement in deep learning.
|
|
gptkbp:is_considered_as
|
a breakthrough in AI
|
|
gptkbp:is_designed_for
|
natural language processing
|
|
gptkbp:is_discussed_in
|
AI conferences
|
|
gptkbp:is_documented_in
|
research articles
|
|
gptkbp:is_evaluated_by
|
language modeling tasks
perplexity metrics
traditional transformers
|
|
gptkbp:is_explored_in
|
academic papers
future AI developments
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
dynamic routing
sparse attention mechanisms
|
|
gptkbp:is_known_for
|
high scalability
flexible architecture
|
|
gptkbp:is_optimized_for
|
large-scale datasets
|
|
gptkbp:is_part_of
|
AI research advancements
Google's AI strategy
Google's research portfolio
|
|
gptkbp:is_promoted_by
|
AI researchers
|
|
gptkbp:is_related_to
|
gptkb:GPT-3
gptkb:BERT
|
|
gptkbp:is_supported_by
|
research funding
|
|
gptkbp:is_tested_for
|
gptkb:GLUE_benchmark
gptkb:Super_GLUE_benchmark
|
|
gptkbp:is_used_in
|
machine translation
question answering
text generation
|
|
gptkbp:is_utilized_in
|
real-world applications
|
|
gptkbp:requires
|
specialized hardware
|
|
gptkbp:scales
|
trillions of parameters
|
|
gptkbp:training
|
distributed training techniques
|
|
gptkbp:uses
|
mixture of experts
|
|
gptkbp:utilizes
|
sparsity in neural networks
|
|
gptkbp:bfsParent
|
gptkb:GLUE_benchmark
gptkb:Super_GLUE_benchmark
|
|
gptkbp:bfsLayer
|
4
|