Tag

#LLM Training

26 posts tagged with this label. Back to all tags or the main feed.

2026

05-15 EN

Zero Sum SVD: A Global, Loss-Aware Rank Budget for LLM Compression
05-15 中

Zero Sum SVD：用「损失零和」做全局奇异值预算分配的 LLM 压缩方法
05-14 EN

DisagMoE: Disaggregating Attention and FFN to Beat the MoE All-to-All Bottleneck
05-14 中

DisagMoE：用解耦 Attention 和 FFN 打通 MoE 训练的 all-to-all 瓶颈
05-09 EN

Queueing Stability for LLM Inference with KV Cache Memory Constraints
05-07 EN

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism
05-01 EN

Low-Rank Optimization Trajectories for LLM RLVR Acceleration: A Technical Review of NExt
04-29 EN

FEPLB Technical Review: Nearly Free MoE Load Balancing with the NVLink Copy Engine
04-24 EN

Generalization at the Edge of Stability: A Random Dynamical Systems Perspective
04-24 EN

FEPLB: Zero-Cost MoE Load Balancing via NVLink Copy Engine
04-16 EN

PipeDream: Turning Pipeline Parallelism into a Practical Training System — Deep Technical Review
04-16 中

PipeDream：把 Pipeline Parallelism 做成真正可训练系统——深度阅读笔记
04-09 EN

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving — Deep Technical Review
04-09 中

DistServe：通过 Prefill/Decoding 解耦实现面向 Goodput 的大模型服务优化 — 深度阅读笔记
04-07 EN

ORPO: Monolithic Preference Optimization without Reference Model — In-Depth Technical Review
04-07 中

ORPO：不用参考模型的一体化偏好优化 — 深度阅读笔记
03-27 EN

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — In-Depth Technical Review
03-26 EN

Alpa: Automating Inter- and Intra-Operator Parallelism — In-Depth Technical Review
03-19 EN

ZeRO: Shattering the Memory Wall — How DeepSpeed Trains Trillion-Parameter Models
03-12 EN

Megatron-LM: NVIDIA's Blueprint for Training Billion-Parameter Models at Scale
03-12 EN

PaRO: Smarter Partitioning for Distributed Training — Beyond ZeRO's One-Size-Fits-All
02-19 EN

vLLM and PagedAttention: Efficient Memory Management for Large Language Model Serving — Technical Review
02-18 EN

GLM-5 Technical Review: From Vibe Coding to Agentic Engineering

2023

04-29 EN

ComputerArchitecture-Day1

2019

11-26 EN

Tensorflow-Day1-DNN Explain
11-24 EN

Reinforcement Learning\_WatermelonBook\_Summary