From 77a98b09ff921702e781c20e50991e336632c9d7 Mon Sep 17 00:00:00 2001 From: Lanxiang Hu Date: Mon, 17 Mar 2025 00:05:10 +0000 Subject: [PATCH] add cse 234 w25 --- docs/机器学习系统/MLSYS.en.md | 2 +- docs/机器学习系统/MLSYS.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/机器学习系统/MLSYS.en.md b/docs/机器学习系统/MLSYS.en.md index 2674f8b2..874a26fc 100644 --- a/docs/机器学习系统/MLSYS.en.md +++ b/docs/机器学习系统/MLSYS.en.md @@ -14,7 +14,7 @@ The curriculum is divided into three main sections: 1. **Fundamentals**: Covers topics such as deep learning, automatic differentiation, and an overview of machine learning systems. -2. **Machine Learning Systems and Optimization**: Includes subjects like dataflow graph systems, machine learning compilation, memory and graph optimizations, and distributed machine learning optimization. +2. **Machine Learning Systems and Optimization**: Includes subjects like machine learning compilation, memory and graph optimizations, and distributed machine learning optimization. 3. **Large (Language) Models**: Explores cutting-edge topics such as training of large language models (LLMs), data preparation, inference and serving, attention mechanism optimization, and retrieval-augmented generation (RAG). diff --git a/docs/机器学习系统/MLSYS.md b/docs/机器学习系统/MLSYS.md index 403d4f9d..261a5cb4 100644 --- a/docs/机器学习系统/MLSYS.md +++ b/docs/机器学习系统/MLSYS.md @@ -22,7 +22,7 @@ 1. 基础知识：​包括深度学习、自动微分、机器学习系统概述等。 -2. 机器学习系统与优化：​涵盖数据流图系统、机器学习编译、内存与图优化、分布式机器学习优化等主题。 +2. 机器学习系统与优化：机器学习编译、内存与图优化、分布式机器学习优化等主题。 3. 大（语言）模型：​探讨LLM的训练、数据准备、推理与服务、注意力机制优化、检索增强生成（RAG）等前沿话题。​