教程 | 如何使用 Ollama 下载 & 使用本地大语言模型

Ollama是一款开源应用程序,可让您使用 MacOS、Linux 和 Windows 上的命令行界面在本地运行、创建和共享大型语言模型。Ollama 可以直接从其库中访问各种 LLM,只需一个命令即可下载。下载后,只需执行一个命令即可开始使用。这对于工作量围绕终端窗口的用户非常有帮助。如果他们被困在某个地方,他们可以在不切换到另一个浏览器窗口的情况下获得答案。Ollama is an open source application that allows you to run, create, and share large language models locally using a command line interface on MacOS, Linux, and Windows. Ollama can access a variety of LLMs directly from its library and can be downloaded with just one command. Once downloaded, it only takes one command to get started. This is very helpful for users whose workload revolves around a terminal window. If they are stuck somewhere, they can get the answer without switching to another browser window....

2025-02-07 · 4 min · 大邓

实验 | 使用 Crewai 和 Ollama 构建智能体(AI Agent)帮我撰写博客文章

大邓是一个技术博主,运营着公众号,每天要消耗大量的时间进行选题、创作、编辑。随着LLM的流行, 能否让LLM替我进行选题、创作、编辑,从此进入躺平式人生新阶段。 这不是做梦, 使用软件Ollama、Python的CrewAI库,设计好智能体(AI Agent),就能实现大邓的白日梦。In technical terms an AI Agent is a software entity designed to perform tasks autonomously or semi-autonomously on behalf of a user or another program. These agents leverage artificial intelligence to make decisions, take actions, and interact with their environment or other systems....

2024-08-05 · 4 min · 大邓

实验 | 使用本地大模型从论文PDF中提取结构化信息

非结构文本、图片、视频等数据是待挖掘的数据矿藏, 在经管、社科等研究领域中谁拥有了从非结构提取结构化信息的能力,谁就拥有科研上的数据优势。正则表达式是一种强大的文档解析工具,但它们常常难以应对现实世界文档的复杂性和多变性。而随着chatGPT这类LLM的出现,为我们提供了更强大、更灵活的方法来处理多种类型的文档结构和内容类型。For many years, regular expressions have been my go-to tool for parsing documents, and I am sure it has been the same for many other technical folks and industries.Even though regular expressions are powerful and successful in some case, they often struggle with the complexity and variability of real-world documents.Large language models on the other end provide a more powerful, and flexible approach to handle many types of document structures and content types....

2024-08-03 · 4 min · 大邓

实验 | 使用Ollama本地大模型DIY制作单词书教案PDF

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2024-07-10 · 3 min · 大邓

网络爬虫 | 使用scrapegraph-ai(大模型方案)自动采集网页数据

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2024-06-16 · 3 min · 大邓