Fast AI is an open-source artificial intelligence library designed to make it easier and faster to develop and deploy advanced machine learning models. It was developed by a team of AI experts and software developers at Fast.ai, a research organization based in San Francisco, California. The library is built on top of existing frameworks such as PyTorch and TensorFlow and it is intended to be a one-stop-shop for all of the components needed to create AI-based applications. It provides powerful tools for data processing, model deployment, and customization.
The library is aimed at simplifying the development process by being user-friendly and providing pre-trained models. It also includes a range of utilities such as a ‘wizard’ which helps automate and streamline the model development process. The library simplifies the process of adding AI models into existing applications, and allows users to customize those models to use within their applications.
By providing developers easy access to state-of-the-art machine learning algorithms and tools Fast AI makes it possible for developers to quickly create powerful machine learning applications. It is likely to be particularly useful for applications that require high accuracy or short iteration cycles, such as fraud detection, computer vision, personalization, recommendation, and robotics.
In addition to making the process of development easier, Fast AI also provides an integrated view into the development of a model and allows developers to explore the impact of their tweaks and changes. By providing a unified view of the development process, Fast AI allows developers to increase their knowledge of the model and the method being used.
Fast AI is an open-source library which can be freely accessed and is suitable for both novice and experienced developers. It offers a simple way to quickly develop and deploy powerful machine learning models, making it an essential tool for developers who want to create powerful and efficient AI based applications.
