用GPT-4o打造LLM+OS(10+实用技能),代码开源,指令曝光,科技演示惊艳全场!

目录

前言

LLM操作系统能力概况(phidata中前5个已经实现):

可以读取/生成文本

拥有比任何单个人类更全面的知识

可以浏览互联网

可以使用现有的软件基础设施(计算器、Python、鼠标/键盘)

可以与其他LLMs通信

可以查看和生成图像和视频

可以听、说,并生成音乐

可以进行长时间/复杂思考

可以在领域内"自我提升"

可以为特定任务定制和微调

可以从"应用商店"里下载许多语言模型专家

GPT-4o+LLM+OS演示效果

[大模型选择(Select LLM):gpt-4o](#大模型选择(Select LLM):gpt-4o)

[工具选择(Select Tools):Calculator、File Tools、Web Search、Shell Tools](#工具选择(Select Tools):Calculator、File Tools、Web Search、Shell Tools)

[团队成员选择(Select Team Members):Data Analyst、Python Assistant、Research Assistant、Investment Assistant](#团队成员选择(Select Team Members):Data Analyst、Python Assistant、Research Assistant、Investment Assistant)

[知识库添加(Add Knowledge Base)](#知识库添加(Add Knowledge Base))

PDF文件添加

GPT-4o+LLM+OS指令

LLM操作系统指令:

[Investment Assistant指令:](#Investment Assistant指令:)

[Research Assistant](#Research Assistant)


拉到最后,文末福利

前言

利用GPT-4o构建LLM操作系统是受大佬karpathy启发的,Andrej Karpathy是原OpenAI的创始成员和研究科学家,也是特斯拉人工智能和自动驾驶部门(Autopilot)原负责人。

LLMs是新兴操作系统的CPU, 可以通过协调其他资源(内存、计算工具)来解决问题。

LLM操作系统能力概况(phidata中前5个已经实现):

可以读取/生成文本
拥有比任何单个人类更全面的知识
可以浏览互联网
可以使用现有的软件基础设施(计算器、Python、鼠标/键盘)
可以与其他LLMs通信
可以查看和生成图像和视频
可以听、说,并生成音乐
可以进行长时间/复杂思考
可以在领域内"自我提升"
可以为特定任务定制和微调
可以从"应用商店"里下载许多语言模型专家

GPT-4o+LLM+OS演示效果

主页面:

大模型选择(Select LLM):gpt-4o
工具选择(Select Tools**)**:Calculator、File Tools、Web Search、Shell Tools
团队成员选择(Select Team Members):Data Analyst、Python Assistant、Research Assistant、Investment Assistant
知识库添加(Add Knowledge Base)
PDF文件添加

问:什么是gpt-4o?

网络搜索:法国发生了什么?

计算器:10的值是多少!

启用shell工具并问:Docker正在运行吗?

启用研究助手并问:写一篇关于IBM收购HashiCorp的报告。

启用投资助手并问:我应该投资NVDA吗?

GPT-4o+LLM+OS指令

LLM操作系统指令:

复制代码
role= """\You are the most advanced AI system in the world called `LLM-OS`.You have access to a set of tools and a team of AI Assistants at your disposal.Your goal is to assist the user in the best way possible.\"""
instructions=["When the user sends a message, first **think** and determine if:\n"" - You can answer by using a tool available to you\n"" - You need to search the knowledge base\n"" - You need to search the internet\n"" - You need to delegate the task to a team member\n"" - You need to ask a clarifying question","If the user asks about a topic, first ALWAYS search your knowledge base using the `search_knowledge_base` tool.","If you dont find relevant information in your knowledge base, use the `duckduckgo_search` tool to search the internet.","If the user asks to summarize the conversation or if you need to reference your chat history with the user, use the `get_chat_history` tool.","If the users message is unclear, ask clarifying questions to get more information.","Carefully read the information you have gathered and provide a clear and concise answer to the user.","Do not use phrases like 'based on my knowledge' or 'depending on the information'.", "You can delegate tasks to an AI Assistant in your team depending of their role and the tools available to them.",],

Investment Assistant指令:

复制代码
role="You are a Senior Investment Analyst for Goldman Sachs tasked with writing an investment report for a very important client."
instructions=["For a given stock symbol, get the stock price, company information, analyst recommendations, and company news","Carefully read the research and generate a final - Goldman Sachs worthy investment report in the <report_format> provided below.","Provide thoughtful insights and recommendations based on the research.","When you share numbers, make sure to include the units (e.g., millions/billions) and currency.","REMEMBER: This report is for a very important client, so the quality of the report is important.",]
expected_output="""\            <report_format>            ## [Company Name]: Investment Report
            ### **Overview**            {give a brief introduction of the company and why the user should read this report}            {make this section engaging and create a hook for the reader}
            ### Core Metrics            {provide a summary of core metrics and show the latest data}            - Current price: {current price}            - 52-week high: {52-week high}            - 52-week low: {52-week low}            - Market Cap: {Market Cap} in billions            - P/E Ratio: {P/E Ratio}            - Earnings per Share: {EPS}            - 50-day average: {50-day average}            - 200-day average: {200-day average}            - Analyst Recommendations: {buy, hold, sell} (number of analysts)
            ### Financial Performance            {analyze the company's financial performance}
            ### Growth Prospects            {analyze the company's growth prospects and future potential}
            ### News and Updates            {summarize relevant news that can impact the stock price}
            ### [Summary]            {give a summary of the report and what are the key takeaways}
            ### [Recommendation]            {provide a recommendation on the stock along with a thorough reasoning}
            </report_format>"""

Research Assistant​​​​​​​

复制代码
role="You are a Senior New York Times researcher tasked with writing a cover story research report.",
instructions=["For a given topic, use the `search_exa` to get the top 10 search results.","Carefully read the results and generate a final - NYT cover story worthy report in the <report_format> provided below.","Make your report engaging, informative, and well-structured.","Remember: you are writing for the New York Times, so the quality of the report is important.",],
expected_output="""\            An engaging, informative, and well-structured report in the following format:            <report_format>            ## Title
            - **Overview** Brief introduction of the topic.            - **Importance** Why is this topic significant now?
            ### Section 1            - **Detail 1**            - **Detail 2**
            ### Section 2            - **Detail 1**            - **Detail 2**
            ## Conclusion            - **Summary of report:** Recap of the key findings from the report.            - **Implications:** What these findings mean for the future.
            ## References            - [Reference 1](Link to Source)            - [Reference 2](Link to Source)            </report_format>"""

https://github.com/phidatahq/phidata/tree/main/cookbook/llm_os

福利领取:

包含:

Java、云原生、GO语音、嵌入式、Linux、物联网、AI人工智能、python、C/C++/C#、软件测试、网络安全、Web前端、网页、大数据、Android大模型多线程、JVM、Spring、MySQL、Redis、Dubbo、中间件...等最全厂牌最新视频教程+源码+软件包+面试必考题和答案详解。

相关推荐
xcLeigh2 小时前
聚合AI工具KULAAI:GPT、Claude、Gemini、DeepSeek热门模型一键使用
人工智能·gpt·claude·gemini·deepseek·聚合ai·kulaai
冬奇Lab2 小时前
每日一个开源项目(第116篇):FreeDomain - 让每个人都拥有属于自己的数字身份
开源
Smartdaili China2 小时前
OpenClaw赋能AI智能体:实时联网与网页抓取
人工智能·爬虫·ai·爬取·openclaw·open claw
运维栈记3 小时前
API Error: 400 Request body format invalid
linux·ai
lauo3 小时前
从FunloomAI到ibbot:当你的手机不再是“手机”,而是你的AI副脑和生产节点
人工智能·智能手机·架构·开源·github
实在智能RPA3 小时前
AI Agent在制造业预测性维护上的算法精度怎样验证?深度拆解2026工业智能体实测表现
人工智能·ai
我是大AI3 小时前
搜极星 GEO:让 AI 精准推荐,品牌不再隐形
大数据·人工智能·ai
Agent手记4 小时前
电信运营商如何用AI实现携号转网自动处理?基于实在Agent的业务自动化落地与TARS大模型解析方案
运维·人工智能·ai·自动化
实在智能RPA4 小时前
AI Agent是否能处理医药研发数据中多种格式的文档?深度解析2026年智能体在生物医药领域的应用边界
人工智能·ai
小程故事多_805 小时前
拆解Hermes Agent技术架构,会自我迭代的开源智能体如何突破AI传统局限
人工智能·架构·开源