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在整个课程（说明和评估）中使用的语言。
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“llm 申请” 的结果
状态：新状态：免费试用Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, Java, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, JUnit, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Document Management, Secure Coding, Business Logic, Problem Solving
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, Generative AI, Generative Model Architectures, Deep Learning
状态：免费DeepLearning.AI
您将获得的技能: Python 程序设计, LangChain, LLM 申请, Node.JS, JavaScript 框架, 生成式人工智能, 生成式 AI 代理, Prompt Engineering
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing
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：免费试用Coursera Instructor Network
您将获得的技能: 质量评估, 大型语言模型, Google 云端平台, 数据伦理, LLM 申请, 图像质量, 验证和确认, 计划评估, 性能指标, 生成式人工智能, 用户反馈, 负责任的人工智能, 人为因素
状态：免费试用您将获得的技能: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI Agents, Artificial Intelligence, Natural Language Processing, Python Programming, Document Management, Application Development, Image Analysis, Front-End Web Development
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：免费试用您将获得的技能: Prompt Engineering, LLM Application, OpenAI, Large Language Modeling, Data Processing, Generative AI Agents, Text Mining, Application Development, Natural Language Processing, Jupyter
状态：免费试用Duke University
您将获得的技能: Python 程序设计, MLOps（机器学习 Operator）, 大型语言模型, 可扩展性, 云计算, LLM 申请, 应用程序部署, 应用编程接口 (API), 负责任的人工智能, 微软 Azure, Prompt Engineering, OpenAI
您将获得的技能: ChatGPT, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Python Programming, Software Installation, Open Source Technology, Development Environment, Real Time Data, Data Science
状态：免费DeepLearning.AI
您将获得的技能: Large Language Modeling, Generative AI, Generative Model Architectures, Data Cleansing, Performance Testing, System Configuration
总之，以下是 10 最受欢迎的 llm 申请 课程
- AI Agents in Java with Generative AI: Vanderbilt University
- Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
- 使用 LangChain.js 构建 LLM 应用程序: DeepLearning.AI
- Introduction to Generative AI Learning Path: Google Cloud
- Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
- Evaluationating Large Language Model Outputs：实用指南: Coursera Instructor Network
- The Complete LangChain & LLMs Guide: Packt
- Introduction to Large Language Models - 繁體中文: Google Cloud
- LangChain MasterClass: Build 15 LLM Apps with Python: Packt
- 在 Azure 上运行 LLM: Duke University
