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Library/ Writing/Tagged “distillation”

Tagged “distillation”

4 posts.

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All Model Architecture19 Training & Alignment22 Inference & Serving18 Agents & Orchestration11 Reasoning & Evaluation26 Safety, Security & Governance7 Platforms & Practice20
Training & Alignment 21 min

Borrowed Intelligence: How Knowledge Distillation Builds Small Language Models That Punch Above Their Weight

A 2-billion-parameter model that trades blows with one ten times its size is not an accident of architecture. It is the product of a teacher pouring its full probability distribution into a student, token by token.

distillation small-language-models model-compression on-device-ai ∑ ◫
Inference & Serving 27 min

Everything Is Lossy Compression: A Rate-Distortion View of Quantisation, KV Caches, and Distillation

Weight quantisation, KV cache eviction, prompt compression and distillation are treated as four separate engineering disciplines with four separate literatures. They are one problem: choosing a point on a rate-distortion curve. S…

information-theory quantisation kv-cache distillation ∑ ◫
Training & Alignment 25 min

The Four Faces of KL Divergence: Mode-Seeking, Mode-Covering, and Why Your Estimator Went Negative

You add a KL penalty to an RLHF objective, log it, and it prints minus 0.03. KL divergence is provably non-negative, and nothing is broken. One formula does four different jobs in modern machine learning, and almost every confusi…

math information-theory kl-divergence rlhf ∑ ◫
Model Architecture 24 min

Why GANs Lost Image Generation, and Why Adversarial Losses Are Everywhere Anyway

In 2021 a diffusion model beat BigGAN-deep on ImageNet while nearly doubling its recall, and GANs stopped being the default way to generate images. Yet latent autoencoders, SDXL-Turbo, HiFi-GAN and the neural audio codecs behind …

adversarial-generative-models gans image-generation diffusion-models ∑ ◫
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