Part 5/7:
The researchers call this approach "compute optimal scaling," which is about being smart with how we use computing power. Instead of using a fixed amount of compute for every single problem, this strategy allocates compute resources dynamically based on the difficulty of the task or prompt.
Putting the Techniques to the Test: The Math Benchmark
To evaluate the effectiveness of these new techniques, the researchers used the math benchmark, a collection of high school-level math problems designed to test deep reasoning and problem-solving skills. This data set was chosen because it is a perfect challenge for large language models, requiring not only the right answer but also an understanding of the steps needed to get there.