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.