Scalability on English AI Terms Dictionary

Microservices

Sat, 18 Jul 2026 10:07:12 +0000

Definition

In the context of AI engineering, microservices allow different components of an AI pipeline, such as data preprocessing, model inference, and result storage, to be developed, scaled, and maintained independently. This contrasts with monolithic architectures by promoting modularity and resilience. Each service communicates via lightweight protocols like HTTP or gRPC. This approach facilitates continuous integration and deployment, enabling teams to update specific AI models or features without disrupting the entire system, thereby improving agility and fault isolation.

self-supervised

Sat, 18 Jul 2026 09:39:30 +0000

Definition

Self-supervised learning is a subset of machine learning where the supervision signal is derived automatically from the data itself, eliminating the need for manual labeling. The model typically solves a pretext task, such as predicting missing words in a sentence or reconstructing masked image patches. This approach leverages vast amounts of unlabeled data to learn robust feature representations, which can then be transferred to various downstream tasks, making it highly scalable and cost-effective for modern foundation models.