GShard

GPTKB entity

Statements (66)
Predicate Object
gptkbp:instance_of gptkb:machine_learning
gptkbp:allows dynamic computation graphs
gptkbp:can_handle large-scale datasets
gptkbp:collaborated_with open-source projects
gptkbp:designed_for scaling neural networks
gptkbp:developed_by gptkb:Google_Research
gptkbp:enables distributed training
model sparsity
gptkbp:enhances model performance
gptkbp:facilitates faster training times
https://www.w3.org/2000/01/rdf-schema#label GShard
gptkbp:improves model efficiency
gptkbp:is_adopted_by academic institutions
industry leaders
gptkbp:is_based_on gptkb:Transformers
gptkbp:is_compatible_with gptkb:TPUs
GPUs
gptkbp:is_discussed_in AI conferences
gptkbp:is_documented_in gptkb:Git_Hub
research papers
gptkbp:is_evaluated_by performance metrics
case studies
user feedback
other frameworks
gptkbp:is_influenced_by previous frameworks
gptkbp:is_integrated_with gptkb:Kubernetes
gptkb:cloud_services
gptkbp:is_mentioned_in technical blogs
gptkbp:is_optimized_for large models
gptkbp:is_part_of gptkb:Google_Cloud_AI
AI research initiatives
Google AI ecosystem
AI toolkits
gptkbp:is_promoted_by gptkb:Google_AI_team
gptkbp:is_promoted_through workshops
webinars
gptkbp:is_related_to deep learning
parallel computing
data parallelism
model parallelism
gptkbp:is_supported_by gptkb:Documentation
tutorials
community contributions
community forums
user groups
gptkbp:is_tested_for benchmark datasets
gptkbp:is_used_for reinforcement learning
image classification
transfer learning
language modeling
few-shot learning
gptkbp:is_used_in computer vision
natural language processing
gptkbp:is_used_to train large language models
train vision models
gptkbp:is_utilized_by data scientists
AI researchers
gptkbp:is_utilized_in production environments
research environments
gptkbp:provides automatic sharding
gptkbp:released_in gptkb:2020
gptkbp:supports multi-task learning
mixture of experts
gptkbp:utilizes gptkb:Tensor_Flow
gptkbp:bfsParent gptkb:Super_GLUE_benchmark
gptkbp:bfsLayer 5