HITL
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems.
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems.
The process of running a system for an extended period to detect early failures and ensure reliability.
Redundant, outdated, or unnecessary code or design elements that accumulate over time in a system.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected.
The hardware and software environment used to deploy and manage applications and services.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
The process of handling changes to software, hardware, or documentation in a systematic way.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.