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学习大纲
学习大纲
Sticky | Created | Reading Notes
目录
LLM —— Tokenize
LLM —— Tokenize
Created | Machine Learning and Deep Learning
LLM/VLLM词元化技术介绍
LLM —— Position Embedding
LLM —— Position Embedding
Created | Machine Learning and Deep Learning
为什么LLM的位置编码都使用RoPE？
LLM —— Parameter Calculation
LLM —— Parameter Calculation
Created | Machine Learning and Deep Learning
详解大模型的参数计算与效率分析——以LLaMA为例
LLM —— MoE
LLM —— MoE
Created | Machine Learning and Deep Learning
详解MoE
LLM —— KV Cache
LLM —— KV Cache
Created | Machine Learning and Deep Learning
有哪些KV Cache方法？MLA如何实现KV Cache？
LLM —— Efficient Training
LLM —— Efficient Training
Created | Machine Learning and Deep Learning
LLM中的高效训练技术
LLM —— Mixed Precision Training
LLM —— Mixed Precision Training
Created | Machine Learning and Deep Learning
为什么LLM中使用BF16而不是FP16？
LLM —— Norm
LLM —— Norm
Created | Machine Learning and Deep Learning
为什么LLM都使用RMSNorm和Pre-Norm？
Papers Reading about LLM
Papers Reading about LLM
Created | Reading Notes
LLM论文阅读笔记
Daily Leetcode
Daily Leetcode
Created | Daily
每日刷题
Technical Summary —— Pytorch & Numpy
Technical Summary —— Pytorch & Numpy
Created | Machine Learning and Deep Learning
技术总结——深度学习常用Pytorch, Numpy
Technical Summary —— Common Command
Technical Summary —— Common Command
Created | Data Analysis and Processing
技术总结——常用命令Shell、Git、Vim
Get Target Mask for Zero-shot Learning
Get Target Mask for Zero-shot Learning
Created | Reading Notes
Zero-shot根据文字提示分割出图片目标掩码
Technical Summary —— Big Data Processing
Technical Summary —— Big Data Processing
Created | Data Analysis and Processing
技术总结——大数据处理常用Pyspark, Pandas
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