Understanding the benefits of pretrained ML models
In this short section, I will try to clarify why using pretrained ML models inside our web applications can be a very good and valuable idea.
ML has rapidly evolved in recent years, offering unprecedented opportunities to enhance web applications with intelligent and predictive features. Streamlit, a popular Python library for creating interactive web applications, has gained immense popularity due to its simplicity and flexibility. When combined with pretrained ML models, Streamlit can empower developers to build web applications that leverage the vast potential of AI.
Pretrained ML models are models that have been trained on large datasets for various tasks, such as image recognition, natural language processing, and more. These models have learned rich data representations and can be fine-tuned for specific applications. Incorporating pretrained models into Streamlit web applications can significantly enhance their capabilities...
