Dash AI: Open source interactive platform
August, 2023. An open source, interactive platform that will facilitate experimentation with machine learning models for various tasks on NLP and computer vision. This is Dash AIthe project led by Felipe Bravo Márquez, a researcher from the Millennium Institute Foundational Research on Dataand academic of the Department of Computer Science at the University of Chile.
"We want to make available to companies, organizations and People an artificial intelligence system that is simple to use and that allows them to handle large databases, to train different models that respond to the needs they want to work on," the researcher emphasizes. "The idea is that they can load their data sets, train different models and search for the best ones for the task that needs to be solved," he explains.
The software is designed so that People who don't have a strong programming background can use artificial intelligence tools, it is open source (available on Github), transparent and seeks to lay the foundations for decentralized growth.
On the website you can review the first version of the tool, in an alpha version that allows you to perform a series of tests such as those made at the end of the presentation. "DashAI seeks to facilitate the complex process of experimentation in machine learning, not only thinking about the classic tasks that are learned when studying machine learning for the first time, the classic tabular classification problems, but it is made thinking about how we see artificial intelligence today: for many tasks we need translation, image patterns doing machine learning, we go from image to text," explains the academic.
The presentation of this system took place at the Innovation Center of the Catholic University, and the project is supported by the Department of Computer Science of the University of Chile, the Federico Santa María Technical University, the National Center for Artificial Intelligence, CENIA, and the Millennium Institute of Technology. Millennium Institute Foundational Research on Data.
Check the video of the presentation at: https://youtu.be/vQKBL53za8g