Open-source model infrastructure refers to technology that is built from open source code and principle. When something is open source, it means that it is not proprietary and can be shared – allowing code and software infrastructure to be shared so others can help it innovate and grow faster than it could otherwise.
With an open-source model, the model blueprints are made available to the public so that anyone can enhance, modify, or re-engineer them. Since the user can take this code and adapt it as needed, it is often used as the foundation for derivative projects.
For instance, if someone in the US builds an open-source machine learning model, another developer in Europe can add on to it and improve it, and then a third in Asia can enhance it further.
The open-source community that supports artificial intelligence and machine learning is quite large, and some popular frameworks include Python, Tensorflow, and several of the R machine learning packages.
Without open-source models, some of the best technology and algorithms available today would not exist, or they would be kept private as a result of patents. The ability to access open-sourced infrastructure allows the AI community to uncover ways to improve machine learning models and gain new insights on how they can be further applied.
It also encourages developers to collaborate and share knowledge, which has been the driving force of technological advancement for the last few decades. Through the development of an open-source model infrastructure, the entire business community benefits from improvements in technology and collective innovation.
Open-source model infrastructure is the backbone of the platforms we offer at LogicPlum. Some of the top algorithms and machine learning models available are open-source, and our model blueprints come from the best of these frameworks.
AI and automated machine learning models can be prohibitively expensive and challenging to build, and it is our goal at LogicPlum to give your organization access to some of the most sophisticated models in the industry. We put you in control of your data so you can make data-driven decisions and gain valuable insights – without the difficulties of hiring data scientists to build models from scratch.