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Compute-Scaling Methods at Inference Time - Rutvik Acharya, Nitin Agarwal
Large language models (LLMs) don’t always need to be bigger to be better—sometimes, they just need to think more efficiently. Inference-time compute scaling improves LLM reasoning by dynamically increasing computational effort during inference, similar to how humans perform better when given more time to think. This session will explore ...
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