The design of all the projects will be the same: Implementing a pre-trained model, deploying the model as an API, and connecting the API to your primary application. Real-time inference is a pattern that delivers several benefits to your NLP design. To begin with, it offloads your core application to a server designed specifically for machine learning models. As a result, the computation procedure is simplified. Then, using an API, you may incorporate predictions. Finally, it allows you to use open-source tools like Cortex to install APIs and automate the entire architecture.