What people call "distillation" is a super common practice (you use other models to benchmark your m...
- Distillation, using other models for benchmarking and dataset augmentation, is a widespread AI practice.
- Clement argues for fair use coverage for distillation, akin to public data usage, especially for open-source models.
- The discussion hints at ongoing legal debates in AI around model development and intellectual property.
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- 模型蒸馏与公平使用
- 蒸馏实践
- 基准测试、输入评估、数据集增强
- 公平使用论点
- 开放源码模型支持竞争
- 行业影响
- 打破AI垄断趋势
金句 / Highlights
值得收藏与分享的关键句。
Distillation...should be covered by fair use...especially when the resulting models are open-source...
Generally AI companies distill other AI companies.
It benefits all and helps break out monopolies that are strongly forming in AI.
clem 🤗 on X: "What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the" / X
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clem 
What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the resulting models are open-source as it benefits all and helps break out monopolies that are strongly forming in AI
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MTS
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LIVE TRIAL UPDATE: OpenAI's counsel asked Musk whether xAI has ever "distilled" technology from OpenAI. Musk: "Generally AI companies distill other AI companies." "Is that a yes?" Savitt asked. Musk: "Partly."
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