AI Infra essential 知识体系总结
算法工程师，首先是工程师。
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root((AI Infra))
(算法&理论)
(操作系统)
(计算机体系结构)
(计算机网络)
(算法导论)
(线代)
(概率论)
(机器学习)
(炼丹经验)
(工程实践)
(编程基础)
(开发框架)
(软件工程)
(开发工具链)
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(算法&理论)
(操作系统)
(计算机体系结构)
(计算机网络)
(算法导论)
(线代)
(概率论)
(机器学习)
(深度学习)
(Network)
(Conv)
(Resnet)
(RNN)
(LSTM)
(Transformer)
(Task)
(Diffusion)
(LLM)
(Multimodal)
(炼丹经验)
(调参)
(Loss Fn)
(Opt)
(Lr)
(Reg)
(模型优化)
(Training)
(Arch Optimization)
(Distillation)
(Pruning)
(Quantization)
(Inference)
(Graph Optimization)
(Operator Fusion)
(数据处理)
(数据增广)
(数据标注)
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(工程实践)
(编程基础)
(数据结构与算法)
(系统设计原理)
(编程语言)
(开发框架)
(软件工程)
(需求与设计)
(开发流程)
(质量保证)
(开发工具链)
(Version Control)
(git)
(Build&Deploy)
(Jenkins)
(Gitlab CI)
(Docker)
(Docker Compose)
(K8s)
(Monitor)
(Promethus)
(Grafana)
(ELK)
(Fluentd)
(Jaeger)
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(开发框架)
(AI)
(Train)
(pytorch)
(Tensorflow)
(Jax)
(Inference)
(onnxruntime)
(tensorrt)
(TVM)
(OpenVino)
(LLM)
(sglang)
(vllm)
(Triton server)
(并行计算)
(MPI)
(Ray)
(OpenMP)
(CUDA)
(Triton)
(OpenCL)
(Web)
(Python)
(Flask)
(Fastapi)
(Django)
(Java)
(Spring)
(Golang)
(Gin)
(Nodejs)
(Expressjs)
(DB)
(MySQL)
(PG)
(Mongo)
(Redis)
(中间件)
(zmq)
(kafka)
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