Distill
Summary
Distill is a web platform and set of tools designed to help people explain machine learning concepts using modern web technologies, with interactive visualizations and articles exploring topics like t-SNE, neural networks, and image synthesis artifacts.
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Cached at: 04/20/26, 02:45 PM
Similar Articles
@ben_burtenshaw: before model distillation was an attack vector. it was. pretty handy way of improving model performance on a task you c…
Ben Burtenshaw announces a live stream on July 7th covering knowledge distillation in post-training, showing how to implement it using small models to approach large model performance.
@TheTuringPost: https://x.com/TheTuringPost/status/2068474648925216861
An educational overview of knowledge distillation, covering its history, core concepts like softmax and temperature, types, scaling laws, and practical examples including DeepSeek-R1.
TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models
TaxDistill proposes a knowledge distillation framework using a 500M parameter genomic foundation model (GenomeOcean) as a teacher to improve metagenomic taxonomic annotation by reducing label noise from similarity search tools, achieving significant F1 improvements on CAMI2 datasets.
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