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：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Google Cloud
您将获得的技能: 大型语言模型, 生成模型架构, 生成式人工智能, LLM 申请, Prompt Engineering, 提示模式
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：免费试用Duke University
您将获得的技能: 大型语言模型, 阿帕奇气流, 工作流程管理, MLOps（机器学习 Operator）, 数据湖, 数据库, 数据库管理系统, 可扩展性, AWS SageMaker, ChatGPT, 生成模型架构, 性能分析, 多模式 Prompt, 性能调整, 亚马逊基岩, 生成式人工智能, Prompt Engineering, LLM 申请, 摘录, OpenAI
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language
是什么让您今天来到 Coursera？
状态：免费试用Vanderbilt University
您将获得的技能: 大型语言模型, 人工智能, 人工智能和机器学习（AI/ML）, 生产率, ChatGPT, 解决问题, LLM 申请, 创造性思维, 创造性地解决问题, 生成式人工智能, 提示模式, Prompt Engineering, OpenAI
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
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, ChatGPT, LLM Application, Responsible AI, OpenAI, Natural Language Processing, Artificial Intelligence, Threat Detection
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web
状态：预览DeepLearning.AI
您将获得的技能: 机器学习, 大型语言模型, 负责任的人工智能, 可扩展性, Python 程序设计, 强化学习, 应用机器学习, 自然语言处理, 性能调整, PyTorch（机器学习库）, 生成式人工智能, Prompt Engineering
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
总之，以下是 10 最受欢迎的 large language modeling 课程
- Generative AI Engineering with LLMs: IBM
- Large Language Models: H2O.ai
- 大型语言模型介绍: Google Cloud
- Modern Natural Language Processing: Packt
- Large Language Model Operations (LLMOps): Duke University
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- Chatgpt 应用提示工程: Vanderbilt University
- Quick Start Guide to Large Language Models (LLMs): Pearson
- Generative AI and Prompt Engineering Essentials: Edureka
- Introduction to Transformer Models for NLP: Unit 2: Pearson
