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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ollama-starttech/
课程评论：没有评论
课程名称：零基础到高手：在Ollama上创建本地LLM应用 课程概述：您是否希望在自己的系统上构建和运行定制的大型语言模型（LLM），而不依赖云解决方案？您是否希望在利用类似ChatGPT的强大模型的同时保护隐私？本课程专为开发者、数据科学家和AI爱好者设计，旨在帮助您创建本地LLM应用。通过这一实践课程，您将从初学者成长为Ollama平台的专家，学习如何设置和定制模型，创建一个类似ChatGPT的界面，并使用Python构建私人应用程序。 在本课程中，您将学习到： - 安装并定制Ollama以执行本地LLM模型 - 掌握所有命令行工具，以有效控制Ollama - 在您的系统上运行类似ChatGPT的界面，使用Open WebUI - 集成各种模型（文本、视觉、代码生成），甚至创建您自己的自定义模型 - 使用Ollama及其库构建Python应用，与OpenAI API兼容 - 利用LangChain增强LLM能力，包括检索增强生成（RAG） - 部署工具和智能体，以在终端和LangChain环境中与Ollama模型进行交互 课程重要性：在隐私日益受到关注的今天，选择本地运行LLM可确保您的数据留在自己的设备上。这不仅提高了数据安全性，还允许您为特定任务定制模型，避免外部依赖。您将完成构建自定义模型、设置Docker用于网络接口以及开发RAG应用等活动，能够根据您的数据检索和响应用户查询。每个部分都包含实际应用，让您获得经验和信心，以构建自己的本地LLM解决方案。 课程优势：我专注于将先进的AI主题变得实用和易于接近，通过实际项目确保您不仅是在学习，而是在实际构建解决方案。无论您是LLM的新手还是希望深化技能，本课程都会为您提供所需的一切。 准备好私密地构建您自己的LLM驱动应用了吗？立即注册，全面掌控您的AI之旅，使用Ollama！
Are you looking to build and run customized large language models (LLMs) right on your own system, without depending on cloud solutions? Do you want to maintain privacy while leveraging powerful models similar to ChatGPT? If you're a developer, data scientist, or an AI enthusiast wanting to create local LLM applications, this course is for you!This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You'll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python-all from the comfort of your own system.In this course, you will:Install and customize Ollama for local LLM model executionMaster all command-line tools to effectively control OllamaRun a ChatGPT-like interface on your system using Open WebUIIntegrate various models (text, vision, code generation) and even create your own custom modelsBuild Python applications using Ollama and its library, with OpenAI API compatibilityLeverage LangChain to enhance your LLM capabilities, including Retrieval-Augmented Generation (RAG)Deploy tools and agents to interact with Ollama models in both terminal and LangChain environmentsWhy is this course important? In a world where privacy is becoming a greater concern, running LLMs locally ensures your data stays on your machine. This not only improves data security but also allows you to customize models for specialized tasks without external dependencies.You'll complete activities like building custom models, setting up Docker for web interfaces, and developing RAG applications that retrieve and respond to user queries based on your data. Each section is packed with real-world applications to give you the experience and confidence to build your own local LLM solutions.Why this course? I specialize in making advanced AI topics practical and accessible, with hands-on projects that ensure you're not just learning but actually building real solutions. Whether you're new to LLMs or looking to deepen your skills, this course will equip you with everything you need.Ready to build your own LLM-powered applications privately? Enroll now and take full control of your AI journey with Ollama!
