Ollama Tutorial for Beginners Run LLMs locally with ease

所在平台: Udemy

课程主页: https://www.udemy.com/course/ollama-tutorial/

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课程名称:初学者Ollama教程——轻松在本地运行大型语言模型 课程概述:欢迎参加Studyopedia提供的Ollama课程!Ollama是一个开源平台,用于下载、安装、管理、运行和部署大型语言模型(LLMs)。LLMs是设计用于理解、生成和解释人类语言的高水平模型。 课程特点: - 模型库:提供多种预构建模型,如Llama 3.2、Mistral等。 - 自定义:允许您自定义并创建自己的模型。 - 简单易用:提供简单的API来创建、运行和管理模型。 - 跨平台:支持macOS、Linux和Windows。 - 模型文件:将运行LLM所需的一切打包成一个Modelfile,便于管理和运行模型。 本地运行LLMs的原因包括增强安全性、完全控制您的数据、减少与外部服务器数据传输和存储相关的风险,以及无需依赖云服务即可自定义应用程序等。 在本课程中,您将学习如何使用Ollama简化程序员运行LLMs的工作。内容涵盖如何开始使用Ollama、安装和调整LLMs(如Lama 3.2、Mistral 7b等),以及如何自定义模型并在本地创建类似ChatBot的教学助手,方法是创建一个模式文件。 课程内容包括: - Ollama的介绍和特性 - 在Windows 11本地安装Ollama - 在Windows 11本地安装Llama 3.2 - 在Windows 11本地安装Mistral 7b - 使用Ollama创建自定义GPT或自定义模型 - 列出在Ollama本地运行的所有模型 - 列出系统中已安装的模型 - 使用Ollama查看模型信息 - 如何停止Ollama上正在运行的模型 - 如何在Ollama上本地运行已安装的模型 - 如何在Ollama本地移除模型 注意:本课程仅涵盖开源技术,并已更新深度学习内容。让我们开始这段旅程吧!

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Welcome to the Ollama Course by Studyopedia!!!Ollama is an open-source platform for downloading, installing, managing, running, and deploying large language models (LLMs). It can be done locally. LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level. FeaturesModel Library: Offers a variety of pre-built models like Llama 3.2, Mistral, etc.Customization: Allows you to customize and create your own modelsEasy: Provides a simple API for creating, running, and managing modelsCross-Platform: Available for macOS, Linux, and WindowsModelfile: Packages everything you need to run an LLM into a single Modelfile, making it easy to manage and run modelsPopular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using Ollama.Why LLMs are run locallyYou may need to run LLMs locally for enhanced security, get full control of your data, reduce risks associated with data transmission and storage on external servers, customize applications without relying on the cloud, etc.In this course, you will learn about Ollama and how it eases the work of a programmer running LLMs. We have discussed how to begin with Ollama, install, and tune LLMs like Lama 3.2, Mistral 7b, etc. We have also covered how to customize a model and create a teaching assistant like ChatBot locally by creating a modefile.**Lessons covered**Ollama - Introduction and FeaturesInstall Ollama Windows 11 locallyInstall Llama 3.2 Windows 11 locallyInstall Mistral 7b on Windows 11 locallyCreate a custom GPT or customize a model with OllamaList all the models running on Ollama locallyList the models installed on your system with OllamaShow the information of a model using Ollama locallyHow to stop a running model on OllamaHow to run an already installed model on Ollama locallyRemove any model from Ollama locallyNote: We have covered only open-source technologiesNote: Updated with DeepSeekLet's start the journey!

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