3. Integrate with LangChain LangChain’sLLMwrappers make it easy to interface with local models. Use theHuggingFacePipelineintegration: fromlangchain.llmsimportHuggingFacePipelinefromtransformersimportpipeline# Create a text generation pipelinetext_gen_pipeline = pipeline("text-generation", model=model, tok...
支持任意大语言模型:与所有基于LangChain的大语言模型兼容,包括GPT-4、Claude 3以及Llama 2。 项目地址:https://github.com/browser-use/browser-use 二、演示视频 执行视频.mp4 执行日志.txt 三、交互流程 四、架构 目录结构 以下是browser-use代码库的主要目录结构及其作用: src/:包含核心源代码,如agent、contro...
支持所有 LangChain 聊天模型,包括但不限于 GPT-4o、GPT-4o Mini、Claude 3.5 Sonnet 和 LLama 3.1 405B。这些模型都是当前领先的大型语言模型,能够处理各种复杂的语言相关任务。 browser-use-webui browser-use开源地址: 简介:Run AI Agent in your browser. 开源地址:https://github.com/browser-use/web-u...
LangChain(@LangChainAI):对于好奇心 这个开源项目使用LangGraph、FastHTML和Tavily来创建类似于Perplexity的体验 支持不同的模型: OpenAI的gpt-4o-mini Groq的llama3-groq-8b-8192-tool-use-preview Ollama的llama3.1:latest(可以自行运行) https://t.co/tjvTP3OLqq https://t.co/ayONThQQSu ...
from pydantic import BaseModel from typing import List from dotenv import load_dotenv from browser_use import Agent, Controller from langchain_openai import ChatOpenAI import asyncio # Define the output format as a Pydantic model class Post(BaseModel): post_title: str post_url: str class Posts...
LLaMA.CPP can be connected withLangChain, which allows us to test a lot of its functionality for free without having an OpenAI key. Last but not least, because LLaMA.CPP works everywhere, it's a good candidate to run in a free Google Colab instance. As a reminder, Google ...
它支持与 LangChain 兼容的模型,如 GPT-4、Claude 3.5 和LLama 等。 上代码 在正式构建应用之前,我们需要先搭建一个理想的开发环境,安装所有所需的 Python 库。首先,先通过如下命令安装支持模型运行所需的依赖项: pip install -r requirements.txt 由于本示例使用的是 OpenAI 的大型模型,因此你需要先设置好 Open...
and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology...
While Streamlit is a general-purpose UI library, Chainlit is purpose-built for AI applications and seamlessly integrates with other AI technologies such as LangChain, LlamaIndex, and LangFlow.With Chainlit, developers can easily create intuitive UIs for their AI models, including ChatGPT-like ...
主流LLM 模型支持:兼容多种大型语言模型(LLM),如 GPT-4、Claude、Llama 等。 Browser Use 的技术原理 集成LLM 模型:集成大型语言模型(LLM)理解和执行复杂的网页任务。 浏览器自动化:用自动化工具如 Playwright,模拟人类用户的浏览器操作。 异步编程:支持异步编程,让 AI 代理能非阻塞地执行网络请求和浏览器操作。