Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:application |
natural language processing
|
| gptkbp:architecture |
gptkb:Transformers
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:evaluates |
Perplexity
BLEU score ROUGE score |
| gptkbp:field_of_study |
gptkb:Artificial_Intelligence
gptkb:machine_learning deep learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Megatron-Turing NLG
|
| gptkbp:is_open_source |
false
|
| gptkbp:key_feature |
creativity
ethical considerations flexibility high accuracy real-time processing scalability user-friendliness robustness collaborative features transfer learning multi-task learning adaptability coherence contextual understanding interactivity data efficiency customizability data privacy measures user feedback integration real-world applicability large-scale training multi-modal capabilities fine-tuning capabilities semantic comprehension |
| gptkbp:language_support |
multiple languages
|
| gptkbp:orbital_period |
530 billion
|
| gptkbp:performance |
state-of-the-art
|
| gptkbp:predecessor |
gptkb:Megatron
|
| gptkbp:production_company |
gptkb:NVIDIA
|
| gptkbp:provides_information_on |
diverse text corpus
|
| gptkbp:release_date |
gptkb:2021
|
| gptkbp:successor |
gptkb:Turing-NLG
|
| gptkbp:system_requirements |
high-performance GPUs
|
| gptkbp:training |
unsupervised learning
supervised fine-tuning |
| gptkbp:use_case |
gptkb:translator
dialog systems question answering content creation text generation summarization |
| gptkbp:bfsParent |
gptkb:Hugging_Face
|
| gptkbp:bfsLayer |
5
|