Statements (85)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:platform_game
|
| gptkbp:allows |
model sharing
|
| gptkbp:developed_by |
gptkb:IBM
|
| gptkbp:enables |
gptkb:collaboration
|
| gptkbp:encourages |
community contributions
|
| gptkbp:facilitates |
knowledge sharing
model deployment model testing model integration AI model lifecycle management |
| gptkbp:features |
user-friendly interface
pre-trained models |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM AI Model Asset Exchange
|
| gptkbp:includes |
model documentation
model training resources |
| gptkbp:is_accessible_by |
gptkb:API
|
| gptkbp:is_aimed_at |
gptkb:researchers
business applications |
| gptkbp:is_available_for |
free access
|
| gptkbp:is_available_on |
cloud platforms
|
| gptkbp:is_compatible_with |
gptkb:IBM_Cloud
|
| gptkbp:is_designed_for |
collaborative projects
enterprise use |
| gptkbp:is_designed_to |
enhance productivity
accelerate AI development simplify AI processes |
| gptkbp:is_integrated_with |
gptkb:IBM_Watson_Studio
|
| gptkbp:is_known_for |
flexibility
scalability ease of use high-quality models robust architecture comprehensive resources |
| gptkbp:is_part_of |
gptkb:IBM_Watson
gptkb:ecosystem AI research initiatives AI development community AI model marketplace IBM AI strategy |
| gptkbp:is_recognized_for |
interoperability
security features user engagement user satisfaction community-driven development innovation in AI |
| gptkbp:is_used_by |
data scientists
|
| gptkbp:is_used_in |
various industries
|
| gptkbp:is_utilized_by |
gptkb:developers
|
| gptkbp:is_utilized_for |
business intelligence
predictive analytics |
| gptkbp:is_utilized_in |
gptkb:academic_research
commercial applications |
| gptkbp:offers |
collaborative tools
model evaluation tools model versioning model training services model collaboration features model customization options model evaluation frameworks model sharing capabilities |
| gptkbp:promotes |
AI innovation
|
| gptkbp:provides |
gptkb:AI_technology
tutorials community support data sets model deployment options model performance metrics model performance analysis model optimization techniques model deployment guides model documentation resources |
| gptkbp:provides_access_to |
open-source models
|
| gptkbp:supports |
gptkb:machine_learning
data analysis tools data integration data visualization data-driven decision making real-time analytics various programming languages automated workflows cross-platform compatibility data preprocessing tools model benchmarking |
| gptkbp:bfsParent |
gptkb:IBM
|
| gptkbp:bfsLayer |
4
|