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Distilling Neural Nets – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 3 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 11 October 2026).

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https://www.microsoft.com/en-us/research/blog/three-mysteries-in-deep-learning-ensemble-knowledge-distillation-and-self-distillation/ Who cites this page
microsoft.com
https://zilliz.com/learn/knowledge-distillation-from-large-language-models-deep-dive?ref=danmackinlay.name
zilliz.com
https://humanloop.com/blog/model-distillation?ref=danmackinlay.name
humanloop.com
https://snorkel.ai/blog/llm-distillation-demystified-a-complete-guide/ Who cites this page
snorkel.ai
https://novasky-ai.github.io/posts/sky-t1/ Who cites this page
novasky-ai.github.io
Distilling step-by-step: Outperforming larger language models with less training Read at research.google (opens in a new tab)
research.google
https://heidloff.net/article/model-distillation-large-language-models/?ref=danmackinlay.name Read at heidloff.net (opens in a new tab)
heidloff.net
https://labelbox.com/blog/a-pragmatic-introduction-to-model-distillation-for-ai-developers/?ref=danmackinlay.name
labelbox.com
https://labelbox.com/guides/model-distillation/?ref=blog.pragmaticengineer.com Who cites this page
labelbox.com
https://snorkel.ai/blog/llm-distillation-techniques-to-explode-in-importance-in-2024/?ref=danmackinlay.name
snorkel.ai
Model distillation overview Who cites this page
platform.openai.com
https://arxiv.org/abs/1503.02531 Who cites this page
arxiv.org
Elsewhere on danmackinlay.name (2)

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