Statements (102)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:applies_to |
natural language processing
image classification |
| gptkbp:architecture |
gptkb:Transformers
|
| gptkbp:can |
gptkb:text
images |
| gptkbp:can_be_fine_tuned_for |
specific tasks
|
| gptkbp:can_be_used_for |
image search
image captioning visual question answering text-to-image generation |
| gptkbp:can_be_used_in |
content moderation
art generation visual search |
| gptkbp:can_create |
images from text descriptions
text descriptions from images |
| gptkbp:developed_by |
gptkb:Open_AI
advancing machine perception enhancing human-computer interaction improving AI understanding |
| gptkbp:has_achieved |
zero-shot learning
state-of-the-art performance |
| gptkbp:has_applications_in |
gptkb:virtual_reality
gptkb:education gptkb:entertainment gptkb:robotics healthcare augmented reality automotive |
| gptkbp:has_limitations |
requires large datasets
sensitive to biases understanding context handling ambiguous queries |
| https://www.w3.org/2000/01/rdf-schema#label |
CLIP
|
| gptkbp:input_output |
gptkb:text
images image embeddings text embeddings |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_based_on |
gptkb:Transformers
gptkb:GPT-3 |
| gptkbp:is_compared_to |
text-based models
traditional image classifiers |
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:is_considered |
a breakthrough in AI
a significant advancement in AI research. |
| gptkbp:is_considered_as |
state-of-the-art model
|
| gptkbp:is_discussed_in |
workshops
AI conferences |
| gptkbp:is_documented_in |
research papers
technical blogs |
| gptkbp:is_evaluated_by |
gptkb:Image_Net
gptkb:COCO_dataset gptkb:Flickr30k user feedback robustness generalization benchmark tests human feedback standard benchmarks image-text similarity |
| gptkbp:is_influenced_by |
gptkb:GPT-3
gptkb:BERT gptkb:Res_Net |
| gptkbp:is_integrated_with |
other AI models
|
| gptkbp:is_known_for |
flexibility
high performance scalability |
| gptkbp:is_part_of |
gptkb:AI_technology
gptkb:Open_AI's_research_portfolio Open AI's mission multimodal AI systems |
| gptkbp:is_related_to |
gptkb:DALL-E
gptkb:neural_networks gptkb:Vision_Transformers |
| gptkbp:is_subject_to |
ethical considerations
bias evaluation |
| gptkbp:is_supported_by |
community contributions
open-source projects academic papers |
| gptkbp:is_trained_in |
internet data
text-image pairs |
| gptkbp:is_used_by |
gptkb:developers
gptkb:artists gptkb:researchers companies |
| gptkbp:is_used_for |
data augmentation
image classification feature extraction zero-shot learning |
| gptkbp:is_used_in |
gptkb:machine_learning
computer vision artificial intelligence applications |
| gptkbp:release_date |
January 2021
|
| gptkbp:released_in |
gptkb:2021
|
| gptkbp:supports |
multi-modal tasks
multimodal tasks |
| gptkbp:training |
large datasets
|
| gptkbp:uses |
contrastive learning
|
| gptkbp:bfsParent |
gptkb:Ilya_Sutskever
|
| gptkbp:bfsLayer |
4
|