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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-ollama-a-comprehensive-guide/
课程评论:没有评论
**课程名称:** 精通 Ollama:全面指南 **课程概述:** 本课程将深入探讨 Ollama 的方方面面,从初始设置到高级管理,让学习者掌握调整参数和优化 LLM 响应所需的知识。无论您是经验丰富的开发者还是充满好奇的学习者,本课程都将帮助您有效利用 Ollama 的强大功能。 Ollama 轻量级且功能强大的模型,例如 Llama3 8b,在聊天机器人应用中发挥了重要作用。例如,企业已成功部署由 Ollama 驱动的聊天机器人来协助客户,提供准确且具有上下文感知能力的响应。 Ollama 本地运行 LLM 的创新方法受到了学习者的欢迎。学生可以发现本地运行 LLM 的优势,并可以在 GenAI 世界中进行实验和试点项目。从创意到教育、通信和软件开发,Ollama 在塑造 AI 驱动的创新方面发挥着关键作用。 学习者可以通过 Ollama 在不到 2 分钟的时间内从零开始运行 LLM。 **动手配置:** 课程结束后,学生将精通在本地设置和配置 Ollama。 * 解决常见问题,确保动手活动期间的顺畅体验。 **创建自定义模型:** * 探索创建自定义 LLM 的激动人心的过程。 * 学习如何将您的模型发布到 Huggingface 等平台以供商业或个人使用。 **LangChain 框架:** * 使用 LangChain 实现问答聊天机器人和 RAG(检索增强生成)模型。 * 通过调整 Ollama 中的关键参数来微调基础模型。 **WebUI 功能:** * **奖励部分** 涵盖了 WebUI 和 Automatic1111 的功能。 * 对于没有基本编程技能,但想尝试 AI 的人来说,这是一个非常理想的工具。 * **无代码 LLM 实现** **授课大纲:** 无
This course delves into every aspect of Ollama, from initial setup to advanced administration, equipping learners with the knowledge needed to fine-tune parameters and optimize LLM responses. Whether you're a seasoned developer or a curious enthusiast, this course ensures you're well-prepared to leverage Ollama's power effectively.Ollama's lightweight yet capable models, such as Llama3 8b, have been instrumental in chatbot applications. For instance, businesses have successfully deployed chatbots powered by Ollama to assist customers, providing accurate and context-aware responsesOllama's innovative approach to locally-run LLMs has been embraced by learners. Students can discover the benefits of running the LLM's locally and they can experinence and can do pilot projects in GenAI world. From creativity to education, communication, and software development, Ollama plays a pivotal role in shaping AI-driven innovation.Learners can go from zero to running an LLM in less than 2 minutes using Ollama.Hands-On Configuration: By the end of the course, students will master the setup and configuration of Ollama locally.Troubleshoot common issues, ensuring a smooth experience during hands-on activities.Creating Custom Models:Explore the exciting process of creating custom LLMs.Learn how to post your models on platforms like Huggingface for commercial or personal use.LangChain Framework:Implement Q & A chatbots and RAG (Retrieval-Augmented Generation) models using LangChain.Fine-tune base models by adjusting critical parameters within Ollama.WebUI Features:The Bonus section covers the WebUI and Automatic1111 features. People who dont know have basic programming skills, want to try AI , then this is the best tool for themNo Code LLM implementation