Inference Frameworks

Inference frameworks are structured systems that enable computers to interpret data and draw conclusions or make decisions based on that information. They provide the rules and methods for processing inputs—such as images, text, or sensor data—and generating outputs like predictions or explanations. Think of them as the logical engines behind applications like voice assistants, fraud detection, or medical diagnosis tools. By organizing how data is analyzed and how conclusions are reached, inference frameworks allow AI systems to operate efficiently, reliably, and accurately in real-world scenarios.