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在整个课程（说明和评估）中使用的语言。
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“generative model architectures” 的结果
状态：免费试用您将获得的技能: 机器学习, 人工智能和机器学习（AI/ML）, ChatGPT, 生成式人工智能, AI 产品战略, 深度学习
状态：免费试用您将获得的技能: Prompt Engineering, 生成模型架构, 负责任的人工智能, 生成式人工智能, LLM 申请, 深度学习, 大型语言模型, OpenAI, 自然语言处理
状态：新Pearson
您将获得的技能: Responsible AI, LangChain, Threat Modeling, Generative AI, Application Security, Secure Coding, Large Language Modeling, Open Web Application Security Project (OWASP), Security Testing, Security Controls, Prompt Engineering, Data Security, Vulnerability Assessments, Computer Security
状态：免费试用Adobe
您将获得的技能: 创造力, Prompt Engineering, 数据伦理, Adobe Creative Cloud, 负责任的人工智能, 人工智能, 数据完整性, 图像分析, 数据安全, 平面设计, 生成式人工智能
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Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
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: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Generative AI, Document Management, Responsible AI, Data Synthesis, Image Analysis, Data Capture, Large Language Modeling, Data Analysis, Organizational Skills, Risk Management Framework, Artificial Intelligence
状态：免费试用您将获得的技能: Prompt Engineering, PyTorch（机器学习库）, 大型语言模型, 数据处理, 文本挖掘, 人工智能, 生成式人工智能, 深度学习, 数据管道, 自然语言处理
状态：新状态：免费试用Coursera Instructor Network
您将获得的技能: LangChain, Prompt Engineering, Large Language Modeling, Generative AI Agents, LLM Application, Tool Calling, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Application Programming Interface (API), OpenAI, Google Gemini, Automation, Generative AI, Application Development, Development Environment, Prompt Engineering Tools, Python Programming
状态：免费试用您将获得的技能: Prompt Engineering, 测试自动化, 软件开发工具, 大型语言模型, 人工智能, 负责任的人工智能, 生成式人工智能, 软件开发, 软件测试, CI/CD, 应用安全, 软件架构, DevSecOps, 自然语言处理, 软件工程
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Starweaver
您将获得的技能: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, Docker (Software), OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Python Programming, Engineering
总之，以下是 10 最受欢迎的 generative model architectures 课程
- 生成式人工智能：介绍与应用: IBM
- 生成式人工智能：基础模型和平台: IBM
- Securing Generative AI: Pearson
- 生成式 AI 内容创作: Adobe
- Generative AI Engineering with LLMs: IBM
- Programming Generative AI: Pearson
- Generative AI Automation: Vanderbilt University
- 生成式人工智能和 LLM：架构和数据准备: IBM
- Building GenAI Applications and Agents: Coursera Instructor Network
- 生成式人工智能：提升你的软件开发职业生涯: IBM
