Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:applies_to |
gptkb:Natural_Language_Processing
|
| gptkbp:competes_with |
gptkb:Google_BERT
Open AI GPT |
| gptkbp:contributes_to |
Research in AI
|
| gptkbp:developed_by |
gptkb:Deep_Mind
|
| gptkbp:enhances |
gptkb:Natural_Language_Processing
Search engines |
| gptkbp:future_prospects |
Advancements in AI
Integration with other technologies Broader accessibility Improved user experiences |
| gptkbp:has_applications_in |
gptkb:entertainment
gptkb:Education Finance Healthcare |
| gptkbp:has_limitations |
Sensitive to input phrasing
Bias in training data May generate incorrect information Requires large computational resources |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind Language Models
|
| gptkbp:improves |
Human-computer interaction
With better algorithms With more data |
| gptkbp:includes |
Transformer architecture
|
| gptkbp:influences |
AI ethics discussions
AI policy making |
| gptkbp:is_based_on |
Neural networks
|
| gptkbp:is_capable_of |
Question answering
Text summarization Text generation Language translation |
| gptkbp:is_collaborative_with |
gptkb:Non-profit_organizations
Academic institutions Government agencies Industry partners |
| gptkbp:is_evaluated_by |
Benchmarks
Automated metrics Human feedback |
| gptkbp:is_explored_in |
gptkb:Workshops
Conferences Online courses Scientific literature |
| gptkbp:is_part_of |
Deep Mind AI research
|
| gptkbp:is_subject_to |
gptkb:Public_opinion
Ethical considerations Regulatory scrutiny Technical challenges |
| gptkbp:is_trained_in |
Large datasets
|
| gptkbp:is_used_in |
Social media platforms
Virtual assistants Customer service automation Content creation tools |
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:supports |
Chatbots
|
| gptkbp:uses |
gptkb:Artificial_Intelligence
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|