AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
A Japanese word meaning excessive strain on people or processes.
A preliminary testing method to check whether the most crucial functions of a software application work, without going into finer details.
A strategic approach where multiple potential solutions are tested to identify the most promising one.
A practice of performing testing activities earlier in the software development lifecycle to identify and address issues sooner.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.
The four key elements of marketing: Product, Price, Place, and Promotion, used to develop marketing strategies.