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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 application” 的结果
- 状态:免费
DeepLearning.AI
您将获得的技能: LangChain, LLM Application, Large Language Modeling, Generative AI Agents, Prompt Engineering, Generative AI, Application Development
- 状态:免费
DeepLearning.AI
您将获得的技能: LangChain, Prompt Engineering, Python 程序设计, JavaScript 框架, 生成式人工智能, 生成式 AI 代理, LLM 申请, Node.JS
- 状态:免费
DeepLearning.AI
您将获得的技能: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Software Versioning, Supervised Learning
- 状态:新状态:免费试用
您将获得的技能: LangChain, LLM Application, Large Language Modeling, Generative AI, Tool Calling, ChatGPT, Generative AI Agents, Responsible AI, OpenAI, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
- 状态:新
您将获得的技能: Prompt Engineering, OpenAI, Responsible AI, LLM Application, Data Ethics, Image Analysis, Application Programming Interface (API), Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Modeling, Computer Vision, Application Deployment, Development Environment
- 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
是什么让您今天来到 Coursera?
- 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
Duke University
您将获得的技能: 阿帕奇气流, Prompt Engineering, 多模式 Prompt, 数据湖, 数据库管理系统, 数据库, MLOps(机器学习 Operator), 可扩展性, AWS SageMaker, 生成模型架构, ChatGPT, 性能分析, 生成式人工智能, 摘录, 工作流程管理, LLM 申请, 大型语言模型, OpenAI, 性能调整, 亚马逊基岩
- 状态:新状态:免费试用
Coursera Instructor Network
您将获得的技能: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming
- 状态:新状态:免费试用
您将获得的技能: LangChain, LLM Application, Large Language Modeling, Tool Calling, Generative AI, Generative AI Agents, Prompt Engineering, Unstructured Data, Semantic Web, Data Structures
- 状态:免费试用
您将获得的技能: 系统监控, 应用程序性能管理, 软件开发生命周期, 持续监测, 漏洞扫描, 安全 Code, DevSecOps, 威胁建模, 安全测试, 开发环境, 数据安全, 开放式网络应用程序安全项目(OWASP), 应用安全, 脆弱性评估
- 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
与 llm application 相关的搜索
总之,以下是 10 最受欢迎的 llm application 课程
- LangChain for LLM Application Development: DeepLearning.AI
- 使用 LangChain.js 构建 LLM 应用程序: DeepLearning.AI
- LLMOps: DeepLearning.AI
- LLM Application Engineering and Development Certification: Simplilearn
- Build Apps and Fine-Tune LLMs Using the OpenAI API: Packt
- Quick Start Guide to Large Language Models (LLMs): Pearson
- Generative AI Engineering with LLMs: IBM
- Large Language Model Operations (LLMOps): Duke University
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera Instructor Network
- LangChain Course for LLM Application Development: Simplilearn