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arXiv
18w
18 weeks ago
[2203.15556] Training Compute-Optimal Large Language Models
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ByteByteGo Newsletter
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Covered in 10 articles
ByteByteGo Newsletter
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1d
1 day ago
Large Language Models vs Small Language Models
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Actions for Large Language Models vs Small Language Models
blog.dougbelshaw.com
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5w
5 weeks ago
AI's energy problem is a systems problem
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LessWrong
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3w
3 weeks ago
Dissolving the Deep Learning Sample Efficiency Gap
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GitHub
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6w
6 weeks ago
A curated, verified map of LLM theory — expressivity, scaling laws, ICL, alignment, interpretability, and open problems
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r/learnmachinelearning
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Actions for A curated, verified map of LLM theory — expressivity, scaling laws, ICL, alignment, interpretability, and open problems
Nature
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2w
2 weeks ago
Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance
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Lil'Log
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2d
2 days ago
Scaling Laws, Carefully
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Hacker News
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nkeivan.com
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3w
3 weeks ago
Why aren't there more AlphaFolds?
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research.dimensioncap.com
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3w
3 weeks ago
On Training Data for Bio AI Models
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threadreaderapp.com
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5w
5 weeks ago
Thread by @KyeGomezB on Thread Reader App
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In other languages
DEV Community
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2w
2 weeks ago
有人在拆 Transformer:Memory Caching 與 CTM 各拆走了一半
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Actions for 有人在拆 Transformer:Memory Caching 與 CTM 各拆走了一半
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