学院 / 课程 / COURSES / NLP-ADVANCED11 LESSONS · 11时 45分
课程 07 / 08
★ 高级自然语言处理高级Advanced NLP: Training & Production Systems
Master the engineering and production aspects of Natural Language Processing with interactive visualizations. Learn to train, fine-tune, optimize, and deploy language models at scale using modern techniques like LoRA, DPO, Flash Attention, and RAG. Features hands-on tools for exploring distributed training, model parallelism, and inference optimization.
课程数据表v2.1
课时11
总时长11时 45分
难度高级
分类自然语言处理
类型高级
更新于2025-11-25
语言EN · RU · ZH
§A · 目标
您将能够做什么。
01.Master training fundamentals with interactive parallelism visualizations
02.Implement advanced fine-tuning methods including PEFT, LoRA, and QLoRA
03.Design preference alignment systems with RLHF and DPO
04.Optimize inference with quantization, Flash Attention, and KV caching
05.Build production RAG systems with embeddings and vector databases
06.Deploy and monitor language models in production environments
§B · 大纲
所有课程。按顺序阅读，或跳转。
№课程类型时间
01Training Fundamentals and Optimization概念· 90 min90 min✕
02Training Monitoring and Dataset Engineering概念· 60 min60 min✕
03Distributed Training Infrastructure概念· 60 min60 min✕
04Fine-tuning Techniques and Parameter-Efficient Methods概念· 75 min75 min✕
05Preference Alignment and RLHF概念· 60 min60 min✕
06Comprehensive Model Evaluation概念· 45 min45 min✕
07Model Quantization and Compression概念· 60 min60 min✕
08Inference Optimization Strategies概念· 45 min45 min✕
09Production RAG Systems概念· 75 min75 min✕
10Advanced Model Implementations概念· 75 min75 min✕
11Production Deployment and Operations概念· 60 min60 min✕