Categories of Inference-Time Scaling for Improved LLM Reasoning
Sebastian Raschka, PhD
Categories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling Papers (Including Recursive Language Models)
Inference scaling has become one of the most effective ways to improve answer quality and accuracy in deployed LLMs.
The idea is straightforward. If we are willing to spend a bit more compute, and more time at inference time (when we use the model to generate text), we can get the model to produce better answers.
Every major LLM provider relies.