Serving a deep learning model with Django
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Deep learning did not suddenly appear with large language models. The field has been evolving for decades, starting with early neural network research in the late 20th century and gradually improving as compute, data, and algorithms advanced. Today, deep learning systems are used in image recognition, natural language processing, recommendation systems, and many other real-world applications. Training a model, however, is only part of the workflow. To make a model useful, it must be served. It needs to accept inputs and return predictions in a reliable way. In this article, we will walk through a practical approach to serving a deep learning model using Django and PyTorch.