A recent advancement in artificial intelligence research utilizes a technique known as distillation. This method allows researchers to leverage a larger, more computationally intensive model to train a smaller, more efficient model. The process involves transferring knowledge from the larger model to a smaller one, resulting in a reduced model size and energy consumption. This allows for the creation of more cost-effective AI solutions, potentially accelerating innovation across various applications. The resulting models are generally easier to deploy and require less powerful hardware.
Credits: WIRED
