Deep Mind for Natural Language Processing
GPTKB entity
Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Natural_Language_Processing
|
| gptkbp:aims_to_improve |
language translation
human-computer interaction natural language understanding multilingual capabilities text comprehension bias in AI |
| gptkbp:applies_to |
dialog systems
text generation language understanding |
| gptkbp:collaborates_with |
academic institutions
industry partners |
| gptkbp:contributes_to |
open-source projects
|
| gptkbp:developed_by |
gptkb:Deep_Mind_Technologies
|
| gptkbp:focuses_on |
gptkb:machine_learning
|
| gptkbp:has_applications_in |
gptkb:customer_service
healthcare content creation |
| gptkbp:has_impact_on |
data privacy
user experience AI ethics |
| gptkbp:has_research_focus |
reinforcement learning
unsupervised learning transformer models |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind for Natural Language Processing
|
| gptkbp:is_associated_with |
neuroscience research
AI safety research Deep Mind's research initiatives |
| gptkbp:is_evaluated_by |
user feedback
benchmark tests academic peer review |
| gptkbp:is_influenced_by |
cognitive science
computational linguistics advancements in AI |
| gptkbp:is_known_for |
state-of-the-art models
|
| gptkbp:is_part_of |
artificial intelligence research
|
| gptkbp:is_supported_by |
community contributions
technological advancements collaborative research efforts |
| gptkbp:is_used_in |
chatbots
virtual assistants automated content moderation |
| gptkbp:receives_funding_from |
gptkb:investors
grants |
| gptkbp:utilizes |
gptkb:neural_networks
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|