Part 3/6:
Among the most intriguing topics discussed is the concept of model distillation. This process involves condensing a large, complex AI model into a smaller, more efficient version, capable of retaining a significant portion of the original model’s intelligence. The allure of distillation lies in its efficiency; it can produce models that are 90-95% as effective as their larger counterparts, but in a form that is far cheaper and easier to deploy.