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本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Low-code framework for building custom LLMs, neural networks, and other AI models

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Efficient Triton Kernels for LLM Training

Democratizing Reinforcement Learning for LLMs

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

OpenLake is a high performance storage engine for efficient LLM inference and GPU Training

Continual learning infra for self-improving agents

Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML