个结果，搜索词为 "retrieval-augmented generation"
您将获得的技能: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Embeddings, Vector Databases, User Interface (UI), Generative AI, AI Workflows, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Query Languages
状态：畅销DeepLearning.AI
您将获得的技能: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, ChatGPT, Prompt Engineering, OpenAI API, Vector Databases, Embeddings, System Monitoring, Artificial Intelligence, Model Evaluation
您将获得的技能: LangChain, Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, Tool Calling, Embeddings, OpenAI API, ChatGPT, Google Gemini, Agentic Workflows
Coursera
您将获得的技能: 情境管理, 决策, 生成式人工智能, ChatGPT, 及时工程, 人工智能工作流程, 提示模式
您将获得的技能: 检索-增强生成, 人工智能, 开发环境, 数据库, 大型语言建模, 文本挖掘, 及时工程, OpenAI, 语义网, 矢量数据库, 嵌入
是什么让您今天来到 Coursera？
您将获得的技能: 检索-增强生成, PyTorch（机器学习库）, 生成式人工智能, 生成式人工智能代理, 大型语言建模, 拥抱的脸, 及时工程, 嵌入
Coursera
您将获得的技能: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, Prompt Engineering, Embeddings, Vector Databases, AI Orchestration, Model Evaluation
Google Cloud
您将获得的技能: 检索-增强生成, 云计算, 人工智能, 多模式提示, 文本挖掘, 数据存储, 数据操作, Google 双子座, 云 API, 元数据管理, 图像分析, 双子座, 嵌入, 查询语言, 文件管理, 数据采集
DeepLearning.AI
您将获得的技能: Full-Stack Web Development, Retrieval-Augmented Generation, Web Applications, JavaScript Frameworks, React.js, LLM Application, Web Development, Javascript, Tool Calling, Generative AI Agents, Data Persistence, Query Languages
您将获得的技能: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Retrieval-Augmented Generation, Natural Language Processing, Model Evaluation, Data Cleansing, Transfer Learning, Scalability
与 retrieval-augmented generation 相关的搜索
总之，以下是 10 最受欢迎的 retrieval-augmented generation 课程
- Retrieval Augmented Generation: Packt
- Retrieval Augmented Generation (RAG): DeepLearning.AI
- Introduction to Retrieval Augmented Generation (RAG): Coursera
- Build Chroma Search: Coursera
- 生成式人工智能：提示工程基础知识: IBM
- 使用嵌入和 Vector 数据库的 Retrieval-Augmented Generation（RAG）: Scrimba
- 使用 RAG 和 LangChain 的 AI 代理基础知识: IBM
- Boost RAG with Chroma: Coursera
- 使用顶点 AI 双子座 API 的多模态检索 Augmentation (RAG): Google Cloud
- JavaScript RAG Web Apps with LlamaIndex: DeepLearning.AI
