Tagged: inference scaling
2 articles on inference scaling.
The LLM Year in Review: What Actually Mattered in 2025 (And What Was Noise)
The prediction was: bigger models win. The reality was: DeepSeek R1 rewrote the rules in January and nothing was the same after that. Here is what 2025 actually taught us about reasoning, inference-time compute, and the changing economics of intelligence.
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Trading Speed for Quality: A Practical Guide to Inference-Time Scaling
Inference-time scaling lets you tune the latency-quality tradeoff at runtime rather than at training time. Here is a practical framework for deciding when to use Best-of-N sampling, beam search, iterative refinement, or one-shot generation — with real examples from clinical AI.
EngineeringRead more →