Reducing Inference Latency in Deep Learning Models

In production deep learning systems, inference latency often determines the difference between a successful deployment and a failed one. Whether you’re building real-time recommendation engines, autonomous vehicle perception systems, or interactive AI applications, every millisecond of latency directly impacts user experience and system performance. Modern deep learning models, while incredibly powerful, can suffer from significant … Read more

What is Inference in Machine Learning?

In machine learning, “inference” is an important aspect, often overlooked amidst training and model building. Yet, its significance lies in bridging the gap between trained models and real-world applications. In this article, we will learn the concept of inference in machine learning, exploring its definition, various methodologies, and practical implications across different learning paradigms. By … Read more