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1.底座模型GLM详解和核心源码解读 2.大模型训练方法finetune 3.大模型训练方法Lora和rank确定方法 4.大模型训练方法p-tuning 5.大模型训练方法RHLF原理详解 6.基于LangChain的知识库搭建 7.基于大模型的知识压缩 8.Prompt工程和技巧 9.大模型采样原理解析 10.Transformer的底层逻辑详解 11.大模型内容审核系统搭建 12.羊驼大模型详解 13.百川大模型详解
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想学GLM微调。
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1.底座模型GLM详解和核心源码解读
2.大模型训练方法finetune
3.大模型训练方法Lora和rank确定方法
4.大模型训练方法p-tuning
5.大模型训练方法RHLF原理详解
6.基于LangChain的知识库搭建
7.基于大模型的知识压缩
8.Prompt工程和技巧
9.大模型采样原理解析
10.Transformer的底层逻辑详解
11.大模型内容审核系统搭建
12.羊驼大模型详解
13.百川大模型详解
The text was updated successfully, but these errors were encountered: