AutoGLMWeb

AutoGLMWeb

by THUDM
AutoGLM-Web is an AI browser assistant that simulates user operations, enabling web browsing, information retrieval, and content summarization tasks.

What is AutoGLM-Web?

AutoGLM-Web is an AI browser assistant that simulates user operations, built on a large language model. It can perform tasks such as web browsing, information retrieval, and content summarization. With simple text or voice commands, AutoGLM-Web can conduct advanced searches on private websites, simulate user browsing, and quickly process multiple web pages in bulk. AutoGLM-Web can also automatically reply to emails based on historical email information.

Key Features

  • Web Browsing and Interaction: Simulates user behavior in browsers, such as clicking, scrolling, and typing.
  • Information Retrieval: Conducts advanced searches on specified websites to find specific information.
  • Content Summarization: Reads and summarizes web content, extracting key information.
  • Email Reply: Automatically drafts email replies based on historical email information.
  • Automated Task Execution: Completes a series of automated web operations based on user instructions.

Technical Principles

  • Based on Large Language Model (LLM): Uses advanced language models to understand natural language instructions and convert them into specific web operations.
  • Self-Evolving Online Course Reinforcement Learning Framework (WEBRL): Continuously optimizes the model through online learning to adapt to changing web environments and task requirements.
  • HTML Simplification Algorithm: Simplifies complex HTML code to extract key information, making it easier for the model to understand and operate.
  • Hybrid Human-Machine Data Construction: Combines automatically generated and manually annotated data to create high-quality training sets, improving model accuracy and generalization.
  • Multimodal Learning: Integrates various modalities such as visual question answering and visual positioning to enhance the model's understanding and operation of web content.

Application Scenarios

  • Automated Office Work: In office environments, AutoGLM-Web can automate tasks such as data entry, information aggregation, and report generation, reducing repetitive work.
  • Online Research and Learning: Assists students or researchers in retrieving online materials, organizing research-related web information, and aiding in academic paper writing.
  • E-commerce: On e-commerce platforms, AutoGLM-Web can be used to automatically collect product information, compare prices, and track order status.
  • Customer Service: Automates email replies and handles common queries, improving the efficiency and quality of customer service.
  • Content Planning and Management: In content creation and management, helps content teams quickly gather materials, organize content outlines, and edit copy.

Getting Started

To start using AutoGLM-Web, visit the GitHub repository for installation instructions and documentation. You can also experience the tool through the Qingyan Plugin.

Features & Capabilities

What You Can Do
Web Browsing Information Retrieval Content Summarization Email Automation Task Automation
Categories
AI Assistant Web Automation Language Model Browser Extension Content Summarization Email Automation Information Retrieval Multimodal Learning Reinforcement Learning Open Source
Example Uses
  • Automated Office Work
  • Online Research and Learning
  • E-commerce
  • Customer Service
  • Content Planning and Management

Getting Started

Pricing
free

Screenshots & Images

Primary Screenshot
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