Part 6/7:
The researchers used fine-tuned versions of Google's Pathways Language Model (Palm 2), which was specifically trained for revision and verification tasks. This allowed the model to be highly skilled at refining responses and verifying solutions, crucial abilities for optimizing test time compute.
The Results: Achieving High Performance with Less Computation
The results show that using the compute optimal scaling strategy, models can achieve similar or even better performance while using four times less computation compared to traditional methods. In some cases, a smaller model using this strategy can even outperform a model that is 14 times larger.