Trained

Having been taught a particular skill, profession, or way of behaving, or having undergone a program of instruction to develop competence. It signifies the acquisition of knowledge, skills, and often discipline through practice, study, or experience. It can refer to the education of humans, the conditioning of animals, or the development of a specific capability or system. The process of training aims to refine abilities, enhance performance, and instill appropriate responses to given stimuli. Training is a fundamental aspect of progress in various domains, including education, employment, and even personal development.

Trained meaning with examples

• The athlete was rigorously trained for years, honing their skills and endurance. They practiced tirelessly, following a strict regimen of diet and exercise, which enabled them to peak for the Olympics. Their dedication and disciplined preparation ultimately led to winning the gold medal, a testament to their intense, structured program.
• She was carefully trained as a surgeon, completing years of medical school and residency. This involved countless hours of study, practical application, and guidance from experienced professionals. Her acquired expertise allowed her to perform complex surgical procedures, saving countless lives through her precise and delicate craft.
• The dog was successfully trained to perform a variety of tricks. Utilizing positive reinforcement, the owner employed treats and praise to reward desired behaviors. This systematic approach gradually shaped the dog's actions, resulting in the dog being capable of performing multiple complex routines.
• The company trained its employees in the new software system. Through a series of workshops and online modules, staff members were taught the functionalities and intricacies of the program. This training ensured everyone was competent, improving efficiency, performance, and helping with their job roles.
• The AI model was trained on a massive dataset of images and text. Through iterative processes, the neural network learned to recognize patterns and generate outputs, which was used to improve the system and make it more efficient for different tasks. The resulting machine was used for numerous purposes, from image recognition to language translation.