AI GLOSSARY CATEGORY: M

What is machine translation? Machine translation uses AI to automatically translate content from one language (the source) to another (the target) without any human input.   What are the different types of machine translation? The different types of machine translation are: Rule-based machine translation (RBMT): The earliest form of MT, rule-based MT, has several severe disadvantages […]

What is machine intelligence? Machine intelligence is created when machines are programmed with human intelligence, such as learning, problem-solving, and prioritization. A machine can tackle complex problems with these limited abilities, and machine intelligence involves deductive logic. For instance, systems exhibiting accurate machine intelligence understand when they have made mistakes, watch out for similar data […]

What is Microservices? Microservices is a cloud-native architectural approach in which a single application is a collection of services that are: Loosely coupled and autonomously deployable smaller services. Services that communicate with one another over a combination of integration with APIs. Organized by business capability separated by services. Services that have their own technology stack. […]

What is ModelOps? As stated in Gartner, “ModelOps focuses on the governance and life cycle management of all AI and decision models that include knowledge graphs, rules, optimization, and linguistic and agent-based models. It includes core capabilities such management of model repository, model rollout/rollback, and CI/CD integration.” In addition to these, it provides business domain […]

What is MLOps? MLOps is the abbreviation for Machine Learning Operations. MLOps is a substantial function of Machine Learning engineering, concentrated solely on streamlining the process of bringing machine learning models to production, then maintaining and finally, monitoring them. MLOps is also a large collaborative function, often composed of data scientists, DevOps engineers, and IT. […]