Distillation in AI Explained
Unlocking the Power of Distillation in Artificial IntelligenceArtificial intelligence is a complex field that continues to evolve and improve. One of the key techniques that have gained popularity in recent years is distillation. Distillation in AI involves transferring knowledge from a large, complex model to a smaller, more efficient one. This process allows for faster inference and reduced computational resources while maintaining high performance.
Distillation works by training a large, powerful model, known as the teacher, and then transferring its knowledge to a smaller model, called the student. The teacher model provides guidance to the student, helping it learn to make accurate predictions. This technique has been used in various AI applications, such as natural language process...








