Muon Optimizer Significantly Accelerates Grokking in Transformers: Microsoft Researchers Explore Optimizer Influence on Delayed Generalization
"优化器" 相关文章
【 ICLR 2025 】Adam 有了 mini 版：内存减半，吞吐量可提升 50%
神经网络优化器进化论：从SGD到RAD，读懂AI训练的内功心法
【深度学习】通透！十大 pytorch 核心操作全总结！！
Researchers from Moonshot AI Introduce Muon and Moonlight: Optimizing Large-Scale Language Models with Efficient Training Techniques
9种神经网络优化算法详解
【深度学习】50个超强pytorch操作！！
Level 1 and Level 2 Optimizers, or Tendimizers and Optimizers
手把手教你入门GPT有幸入选雪球2024年度十大影响力用户提名，插个投票链接在此，感谢大家支持DrChuck：网页链接2022年底，GPT3横空出世，改变了整个世界。可惜Op...
ArXiv 2024 | 揭秘视觉表征学习中的骨干网络-优化器耦合偏好
Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning
This AI Paper from Apple Introduces AdEMAMix: A Novel Optimization Approach Leveraging Dual Exponential Moving Averages to Enhance Gradient Efficiency and Improve Large-Scale Model Training Performance
The Real Deal on Language Model Optimizers: Performance and Practicality
Adam-mini: A Memory-Efficient Optimizer Revolutionizing Large Language Model Training with Reduced Memory Usage and Enhanced Performance
MIPRO: A Novel Optimizer that Outperforms Baselines on Five of Six Diverse Language Model LM Programs Using a Best-in-Class Open-Source Model (Llama-3-8B) by 12.9% accuracy
Rethinking Neural Network Efficiency: Beyond Parameter Counting to Practical Data Fitting
