Sebastian Raschka's inference scaling video: building self-consistency that lifts accuracy >2x
rasbt · x · 2026-09-19
Sebastian Raschka released part 1 of his inference scaling tutorial series, implementing inference-time scaling from scratch:
- Core: modding a text generation function (temperature scaling, top-p filtering, multinomial sampling) to generate diverse outputs for self-consistency and best-of-N, improving answer accuracy by >2x
- Topics covered: chain-of-thought prompting, next-token logits and greedy decoding, temperature scaling, top-p filtering, sampling and LLM watermarking, self-consistency with majority voting
- Results: MATH-500 experiments plus accuracy-vs-compute tradeoffs
Roughly 1.5 hours with notebooks — highly actionable for implementers.
Related event: rasbt Releases Inference Scaling Tutorial Video(2 posts)→
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