Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:allows |
bias in training data
interpretability challenges resource-intensive training |
| gptkbp:architectural_style |
gptkb:Transformers_character
|
| gptkbp:collaborations |
industry partners
various academic institutions |
| gptkbp:developed_by |
gptkb:Job_Search_Engine
|
| gptkbp:future_plans |
improving efficiency
reducing biases enhancing multi-modal capabilities expanding language support |
| gptkbp:has_ability |
natural language understanding
question answering text generation code generation |
| https://www.w3.org/2000/01/rdf-schema#label |
Pa LM
|
| gptkbp:impact |
advancements in AI research
enhancements in user interaction improvements in NLP applications |
| gptkbp:influenced_by |
gptkb:Transformers_character
self-attention mechanism |
| gptkbp:is_available_on |
gptkb:Google_Cloud
API access |
| gptkbp:is_evaluated_by |
benchmarked against human performance
|
| gptkbp:language |
multiple languages
|
| gptkbp:notable_feature |
few-shot learning
multi-modal capabilities zero-shot learning |
| gptkbp:orbital_period |
540 billion
|
| gptkbp:provides_information_on |
diverse internet text
|
| gptkbp:related_to |
gptkb:microprocessor
deep learning AI safety AI ethics |
| gptkbp:release_date |
gptkb:2022
|
| gptkbp:research_areas |
gptkb:Artificial_Intelligence
gptkb:software_framework natural language processing |
| gptkbp:successor |
gptkb:GPT-3
gptkb:BERT |
| gptkbp:use_case |
content creation
chatbots educational tools programming assistance |
| gptkbp:bfsParent |
gptkb:Google_AI_models
|
| gptkbp:bfsLayer |
8
|