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所在平台: Udemy |
课程主页: https://www.udemy.com/course/lm-studio-for-beginners/
课程评论：没有评论
课程名称：LM Studio 初学者：本地运行大语言模型 概述： 欢迎来到Studyopedia的LM Studio课程！LM Studio旨在帮助用户在本地与大语言模型（LLM）进行互动。LLM指的是大型语言模型，这些模型旨在以高水平理解、生成和解释人类语言。 课程特点： - **本地模型互动**：允许用户在本地运行和与LLM互动，无需将数据发送到外部服务器。 - **用户友好的界面**：提供图形用户界面，便于发现、下载和运行本地LLM。 - **模型定制化**：提供高级配置选项，如CPU线程、温度、上下文长度、GPU设置等。 - **隐私保障**：确保所有聊天数据保留在本地机器上。 - **多语言支持**：得益于LM Studio社区的出色贡献，LM Studio支持英语、西班牙语、日语、汉语、德语、挪威语、土耳其语、俄语、韩语、波兰语、越南语、捷克语、乌克兰语以及葡萄牙语（巴西和欧洲）。 本课程介绍了如何在LM Studio上本地运行流行的LLM，例如Meta的Llama、Mistral、谷歌DeepMind的Gemma、微软的Phi、阿里巴巴的Qwen等。您可能需要在本地运行LLM以增强安全性，完全控制自己的数据，减少与外部服务器数据传输和存储相关的风险，以及无需依赖云计算定制应用程序等。 在本课程中，您将学习如何使用LM Studio来简化程序员运行LLM的工作。我们还讨论了如何开始使用LM Studio并安装Llama、Qwen等LLM。 注意：即使您的RAM少于16GB，您仍然可以在LM Studio上使用较小的模型，如Llama 3.2 1B和Qwen2 Math 1.5B，在此视频课程中我们都做了演示。
Welcome to the LM Studio Course by Studyopedia!LM Studio is designed for local interaction with large language models (LLMs).LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.FeaturesLocal Model Interaction: Allows users to run and interact with LLMs locally without sending data to external serversUser-Friendly Interface: Provides a GUI for discovering, downloading, and running local LLMs.Model Customization: Offers advanced configurations for CPU threads, temperature, context length, GPU settings, and more.Privacy: Ensures all chat data stays on the local machine.Languages: Thanks to the awesome efforts of the LM Studio community, LM Studio is available in English, Spanish, Japanese, Chinese, German, Norwegian, Turkish, Russian, Korean, Polish, Vietnamese, Czech, Ukrainian, and Portuguese (BR,PT).Popular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using LM Studio.You 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 LM Studio and how it eases the work of a programmer running LLMs. We have discussed how to begin with LM Studio and install LLMs like Llama, Qwen, etc.Note: Even if your RAM is less than 16GB, you can still work with the smaller models, with LM Studio, such as:Llama 3.2 1BQwen2 Math 1.5BWe have shown the same in this video course.
