Inference
Inference is a fundamental concept in computer science and artificial intelligence that refers to the process of deriving logical conclusions from premises or data. In machine learning, it specifically involves using a trained model to make predictions or decisions on new, unseen data. This process is critical for deploying models in real-world applications, such as image recognition, natural language processing, and recommendation systems.
Developers should learn inference to effectively deploy and optimize machine learning models in production environments, ensuring they perform efficiently and accurately. It is essential for applications like real-time fraud detection, autonomous vehicles, and chatbots, where low-latency predictions are crucial. Understanding inference also helps in model optimization techniques, such as quantization and pruning, to reduce computational costs and improve scalability.