Consumeritize
Engineering and Scientist at SublimeAI keep developing innovative consumer applications in imaging, natural language processing, audio, sequence modelling, etc. With launch of each such application the SublimeAI engine continues to enhance and become more powerful.
Dataset Preprocessing
This component takes existing datasets and then creates training, test, and validation sets. It also prepares data for semi supervised learning by using sudo sampling.
Web Server
This component is responsible for serving request over the web service. For instance it provides functions for things like train, test, sub-sample, upload, etc.
Deployment Options
Sublime AI deployment comes in two flavors. One is on premise and the other is on cloud. The benefits of the on cloud model is that it is much more easier to develop, deploy and keep getting the benefits of the Sublime AI's engine. The benefit of the On Premise model is that its easy to integrate with data since there is no copy of data made, and sometimes because of security policies the on premise is a need not a want. Many companies now days use AWS, Azure, or Google Cloud as their data centers. Sublime AI can also be deployed as an app on these platforms. Which option we choose is a matter of discussion and time to market.