Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"
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* [[Building Your Environment]] | * [[Building Your Environment]] | ||
| − | * [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] | + | * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] |
* [[Service Capabilities]] | * [[Service Capabilities]] | ||
* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
Revision as of 20:50, 7 July 2023
YouTube search... ...Google search
- Building Your Environment
- Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
- Service Capabilities
- Automated Learning
- Google AI Hub
Aigents
YouTube search... ...Google search
Open Neural Network Exchange (ONNX) Format
YouTube search... ...Google search
Open ecosystem to address the interoperability among neural network toolkits challenge, Amazon AWS, Facebook and Microsoft have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.
