|
gptkbp:instance_of
|
gptkb:language
|
|
gptkbp:based_on
|
gptkb:T5_architecture
|
|
gptkbp:can_be_fine_tuned_for
|
specific tasks
|
|
gptkbp:can_create
|
human-like text
|
|
gptkbp:can_handle
|
long-context inputs
|
|
gptkbp:can_perform
|
gptkb:translator
question answering
text generation
summarization
text classification
|
|
gptkbp:conducts_research_on
|
AI safety
AI ethics
AI interpretability
|
|
gptkbp:designed_for
|
few-shot learning
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_function
|
11 billion
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
FLAN-T5
|
|
gptkbp:improves
|
gptkb:T5
|
|
gptkbp:is_available_on
|
gptkb:Hugging_Face_Model_Hub
|
|
gptkbp:is_documented_in
|
research papers
tutorials
online courses
technical blogs
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
gptkb:MNLI_benchmark
gptkb:SQu_AD_benchmark
gptkb:GLUE_benchmark
gptkb:Super_GLUE_benchmark
WMT benchmark
|
|
gptkbp:is_influenced_by
|
gptkb:GPT_models
BERT models
|
|
gptkbp:is_known_for
|
flexibility
high accuracy
robustness
|
|
gptkbp:is_optimized_for
|
generalization
|
|
gptkbp:is_part_of
|
gptkb:FLAN_family_of_models
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_trained_in
|
diverse datasets
instruction tuning
|
|
gptkbp:is_used_in
|
gptkb:customer_support
content creation
chatbots
educational tools
virtual assistants
NLP applications
|
|
gptkbp:released_in
|
gptkb:2022
|
|
gptkbp:supports
|
multiple languages
|
|
gptkbp:uses
|
gptkb:Transformers
|
|
gptkbp:bfsParent
|
gptkb:Hugging_Face
|
|
gptkbp:bfsLayer
|
5
|