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所在平台: Udemy |
课程主页: https://www.udemy.com/course/how-to-build-chatbot-with-python-rasa-open-source/
课程评论：没有评论
Coursera: 如何使用 Python 和 Rasa 开源构建聊天机器人 本课程是一项全面的学习计划，旨在教授学员如何使用 Python 和 Rasa 开源框架从零开始构建强大、智能的聊天机器人。 **课程重点包括：** * **Rasa NLU 基础：** 学习 Rasa 自然语言理解的核心概念，包括用户消息的预处理和意图识别。 * **构建天气聊天机器人：** 动手实践，构建一个能够调用外部 API 以提供实时天气信息的聊天机器人。 * **高级 NLU 技术：** 深入学习实体识别、同义词处理等进阶技巧，提升聊天机器人的理解能力。 * **Rasa Forms：** 掌握 Rasa Forms 的使用，创建结构化对话流程，实现复杂的用户交互。 * **Fallback 和 Human Handoff：** 学习如何优雅地处理超出聊天机器人能力范围的查询，以及如何将用户无缝转接给人工客服。 * **Rasa 与 MySQL 集成：** 将 Rasa 与 MySQL 数据库连接，实现用户数据的存储和个性化交互。 * **部署 Rasa 聊天机器人：** 了解将开发的聊天机器人部署到不同平台的策略和选项。 * **Rasa 与 Flask 集成：** 利用 Flask 框架为聊天机器人创建用户友好的 Web 界面。 * **更多 Rasa Forms 应用：** 深入学习 Rasa Forms 的各种用法和实际案例。 * **创建新闻机器人：** 通过调用 API 构建一个提供新闻资讯的机器人。 * **Rasa 与 OpenAI LLMs 集成：** 探索如何将 OpenAI 的大型语言模型（如 GPT）与 Rasa 集成。 * **Rasa 与 Cohere LLMs 集成：** 学习如何将 Cohere 的大型语言模型与 Rasa 集成。 * **Rasa 与 Google Gemini 集成：** 了解如何将 Google Vertex AI 和 Gemini 模型集成到 Rasa 框架中。 * **Rasa 与 Hugging Face 集成：** 学习如何将 Hugging Face 的模型与 Rasa 开源进行集成。 完成本课程后，学员将具备构建智能聊天机器人的技能，能够处理用户意图、检索信息并提供令人愉悦的对话体验。无论您是希望进入人工智能聊天机器人领域的开发者，还是希望提升客户互动体验的专业人士，本课程都能帮助您成功构建和部署复杂的聊天机器人。
Welcome to the comprehensive course, "How to Build Chatbot with Python and Rasa Open Source." If you're interested to dive into the exciting world of conversational AI, this course is your gateway to creating powerful, intelligent chatbots from scratch using Python and Rasa Open Source.Course Description:In today's digital landscape, chatbots have become an integral part of user engagement and customer support. This course is meticulously designed to equip you with the skills needed to creat sophisticated chatbots using Python and also leverage the capabilities of Rasa Open Source, a leading conversational AI framework.Key Focus Areas:Understanding Rasa NLU: Lay the foundation by grasping the core concepts of Rasa NLU (Natural Language Understanding). Learn how to preprocess and extract meaning from user messages, forming the basis for accurate interactions.Building Weather Chatbot and API Calls: Dive into practical implementation as you build a Weather Chatbot that interacts with external APIs to provide real-time weather information. Understand how to integrate API calls seamlessly into your chatbot flow.Advanced NLU Techniques: Elevate your chatbot's understanding of user intent and entities. Explore advanced techniques to enhance NLU performance, including entity recognition and synonym handling.Rasa Forms: Discover the power of Rasa Forms in creating structured conversations. Implement dynamic forms that guide users through complex interactions, ensuring a seamless and user-friendly experience.Fallback and Human Handoff: Learn how to gracefully handle user queries that fall outside the chatbot's capabilities using fallback mechanisms. Explore strategies for seamless transition to human agents when necessary.Rasa and MySQL Database: Integrate Rasa with MySQL databases to store and retrieve user-specific data, enabling personalized interactions and a more engaging user experience.Deploy Rasa Chatbot: Take your chatbot from development to deployment. Explore deployment options and strategies, ensuring your chatbot is accessible to users across various platforms.Rasa and Flask Integration: Extend the capabilities of your chatbot by integrating it with Flask, a powerful web framework. Learn how to create a user-friendly web interface for your chatbot.More on Rasa Forms: In this section we are going to learn more about Rasa Forms, and we add more information on Rasa usage.Creating News Bot: In this section we want to interact with API and create a news BotRasa with OpenAI LLMs: In this section we want to talk about LLMs, and how we can integrate OpenAI (GPT) LLMs with Rasa Open SourceRasa with Cohere LLMs: In this section we are going to integrate Rasa with Cohere LLMs.Rasa with Google Gemini: In this section we are going to talk about Google Vertex AI, and how we can integrate Google Gemini with Rasa Open Source.Rasa with Hugging Face: In this section we want to learn how to integrate Rasa Open Source with Hugging Face Models.By the end of this course, you'll gain the skills and knowledge to create intelligent chatbots that can understand user intents, retrieve and present information, and provide a delightful conversational experience. Whether you're a developer looking to enter the world of AI-driven chatbots or a professional aiming to enhance customer interactions, this course empowers you to build and deploy sophisticated chatbots with Python and Rasa Open Source. Enroll now and embark on a journey into the exciting realm of conversational AI.
