Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:allows |
potential for misuse
interpretability issues requires fine-tuning resource intensive context length |
| gptkbp:application |
language translation
content creation chatbots summarization |
| gptkbp:architectural_style |
gptkb:Transformers_character
|
| gptkbp:business_model |
transparency
user privacy bias mitigation |
| gptkbp:collaborations |
non-profit organizations
academic institutions industry partners |
| gptkbp:developed_by |
gptkb:Open_AI
|
| gptkbp:economic_impact |
competitive landscape
increased adoption influenced AI trends |
| gptkbp:feedback |
research papers
user reviews open source contributions |
| gptkbp:has_ability |
natural language understanding
text generation |
| https://www.w3.org/2000/01/rdf-schema#label |
GAL.60 B
|
| gptkbp:is_evaluated_by |
accuracy
BLEU score ROUGE score |
| gptkbp:language |
multiple languages
|
| gptkbp:orbital_period |
60 billion
|
| gptkbp:performance |
state-of-the-art
|
| gptkbp:predecessor |
GAL.30 B
|
| gptkbp:project |
improved efficiency
enhanced capabilities broader applications |
| gptkbp:provides_information_on |
text corpus
|
| gptkbp:release_date |
gptkb:2023
|
| gptkbp:successor |
GAL.120 B
|
| gptkbp:training |
unsupervised learning
|
| gptkbp:type |
gptkb:language
|
| gptkbp:use_case |
gptkb:literary_work
gptkb:railway_line data analysis educational tools |
| gptkbp:user_base |
gptkb:University
gptkb:physicist gptkb:software gptkb:Educational_Institution businesses |
| gptkbp:bfsParent |
gptkb:General_Aircraft_GAL.60
|
| gptkbp:bfsLayer |
8
|