筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“large language modeling” 的结果
状态：免费试用Google Cloud
您将获得的技能: 大型语言模型, LLM 申请, Prompt Engineering, 生成模型架构, 生成式人工智能, 提示模式
状态：免费试用H2O.ai
您将获得的技能: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
状态：新状态：免费试用您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Text Mining, Query Languages, User Interface (UI), Application Development, Natural Language Processing
状态：免费试用Vanderbilt University
您将获得的技能: 人工智能, 大型语言模型, 创造性思维, LLM 申请, 人工智能和机器学习（AI/ML）, 生产率, Prompt Engineering, ChatGPT, 生成式人工智能, 解决问题, 创造性地解决问题, OpenAI, 提示模式
状态：免费试用Duke University
您将获得的技能: MLOps（机器学习 Operator）, 多模式 Prompt, 大型语言模型, LLM 申请, 可扩展性, 阿帕奇气流, 数据湖, 工作流程管理, Prompt Engineering, 数据库, 数据库管理系统, 生成模型架构, ChatGPT, 性能分析, 生成式人工智能, 亚马逊基岩, 摘录, AWS SageMaker, OpenAI, 性能调整
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment
状态：新状态：免费试用您将获得的技能: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
状态：预览Duke University
您将获得的技能: Open Source 技术, 大型语言模型, LLM 申请, 数据伦理, Prompt Engineering, 云应用, 生成式人工智能, 应用程序部署, 拉斯特（编程语言）, 风险管理框架, 负责任的人工智能
状态：预览DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 机器学习, 大型语言模型, Prompt Engineering, 可扩展性, Python 程序设计, 强化学习, 生成式人工智能, 应用机器学习, 自然语言处理, 性能调整, 负责任的人工智能
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning
总之，以下是 10 最受欢迎的 large language modeling 课程
- 大型语言模型介绍: Google Cloud
- Large Language Models: H2O.ai
- Generative AI Engineering with LLMs: IBM
- Langchain and Langgraph: Packt
- Chatgpt 应用提示工程: Vanderbilt University
- Large Language Model Operations (LLMOps): Duke University
- Modern Natural Language Processing: Packt
- Generative AI and Large Language Models: Coursera
- Introduction to Transformer Models for NLP: Pearson
- 地方大语言模型的基础: Duke University
