Part 6/10:
The concept of distillation is essential to understanding how models like Deep Seek R1 enhance efficiency and performance. The large, resource-intensive models can be used as "teachers" to produce smaller "student" models that are specifically tuned for particular types of tasks. This recursive training allows the smaller models to perform remarkably well without incurring the same costs or resource consumption associated with their larger counterparts.
Deep Seek's research indicates that such distilled models can outperform even established systems, highlighting the potential for smaller, focused AI implementations to achieve exceptional results across various applications—from mathematical reasoning to sentiment analysis.