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主题必需的
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在整个课程（说明和评估）中使用的语言。
了解产品必需的
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教师必需的
“large language modeling” 的结果
状态：预览Google Cloud
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Application Development
状态：预览Google Cloud
您将获得的技能: Large Language Modeling, LLM Application, Natural Language Processing, Prompt Engineering, Google Cloud Platform, Generative AI
状态：预览Google Cloud
您将获得的技能: Prompt Engineering, Generative AI, Large Language Modeling, LLM Application, Artificial Intelligence, Application Development
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies
状态：预览Duke University
您将获得的技能: LLM Application, Large Language Modeling, Restful API, Application Programming Interface (API), Natural Language Processing, JSON, Scripting, Command-Line Interface, Machine Learning
状态：免费试用您将获得的技能: 数据管道, 大型语言模型, 人工智能, 自然语言处理, 数据处理, PyTorch（机器学习库）, Prompt Engineering, 生成式人工智能, 文本挖掘, 深度学习
状态：预览您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, Google Gemini, Generative AI
状态：预览Google Cloud
您将获得的技能: Large Language Modeling, Prompt Engineering, Prompt Patterns, Generative AI, LLM Application, Generative Model Architectures
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Application Programming Interface (API), Development Environment, AI Personalization, Generative AI, Persona (User Experience), User Interface (UI), Authentications
状态：免费试用您将获得的技能: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model
状态：免费试用Coursera Instructor Network
您将获得的技能: LangChain, Prompt Engineering, LLM Application, Large Language Modeling, Tool Calling, ChatGPT, Google Gemini, OpenAI, Generative AI Agents
状态：免费试用Duke University
您将获得的技能: MLOps（机器学习 Operator）, 大型语言模型, CI/CD, 应用程序部署, 自然语言处理, AWS SageMaker, Devops, 拉斯特（编程语言）, PyTorch（机器学习库）, 应用机器学习, 机器学习, 生成式人工智能, 亚马逊网络服务, Prompt Engineering, 深度学习
总之，以下是 10 最受欢迎的 large language modeling 课程
- Introduction to Large Language Models - 한국어: Google Cloud
- Introduction to Large Language Models - בעברית: Google Cloud
- Introduction to Large Language Models - 繁體中文: Google Cloud
- Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
- Beginning Llamafile for Local Large Language Models (LLMs): Duke University
- 生成式人工智能和 LLM：架构和数据准备: IBM
- Introduction to Large Language Models - Bahasa Indonesia: Google Cloud
- Introduction to Large Language Models - 日本語版: Google Cloud
- Foundations of LLMs and Llama development: Meta
- Natural Language Processing with Real-World Projects: Packt
