🚀HardInference OptimizationPREMIUM

Reasoning & Test-Time Compute

Understand the shift from train-time to test-time compute scaling. Explore how reasoning models trade inference FLOPs for better logical deduction.

What you'll master

Test-time compute scaling vs. train-time scaling

Chain-of-thought as extended inference

Process reward models (PRMs) vs. outcome reward models (ORMs)

Best-of-N sampling and self-consistency

Inference compute-optimal strategies

DeepSeek-R1 and RLVR for reasoning

Hard35 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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