Dash AI: Interactive open-source platform
August, 2023.- An open-source interactive platform that will facilitate the experimentation of machine learning models for various tasks in NLP and computer vision. This is Dash AI, the project led by Felipe Bravo Márquez, researcher at the Millennium Institute Foundational Research on Data (IMFD), at CENIA, and professor at the Department of Computer Science of the Universidad de Chile.
“We want to provide companies, organizations, and individuals with an artificial intelligence system that is easy to use and capable of handling large databases, in order to train different models that respond to the needs users want to address,” the researcher highlights. “The idea is that they can upload their datasets, train different models, and find the best ones for the task that needs to be solved,” he explains.
The software is designed so that people who don’t have in-depth programming knowledge can use artificial intelligence tools. It is open source (available on Github), transparent, and seeks to lay the groundwork for decentralized growth.
On the website you can check out the first version of the tool, in an alpha version that allows for a series of tests like those carried out 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 learned when studying machine learning for the first time, the classic tabular classification problems, but rather it is designed with today’s view of artificial intelligence in mind: for many tasks we need translation, image pattern recognition using machine learning, going from image to text,” the academic explains.
The presentation of this system took place at the Centro de Innovación of the Universidad Católica, and the project has the support of the Department of Computer Science of the Universidad de Chile, the Universidad Técnica Federico Santa María, the National Center for Artificial Intelligence, CENIA, and the Millennium Institute Foundational Research on Data.
Watch the presentation video at: https://youtu.be/vQKBL53za8g