Landmark paper from GoogleDeepMind - Scaling LLM Test-Time Compute Optimally can be More Effective'

This Paper from @GoogleDeepMind is a landmark one

📚 "Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters"

It may have contributed to the 01 Model from OpenAI or the principle may have been long known to OpenAI.

The paper basically says - Searching at inference will give you great final result from the LLM.

Now Strawberry model is making use of inference time compute strategies using Search techniques over the response space to improve reasoning.

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[coldlyanalytical]

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