Technical realization and application of natural language interaction
Simular Browser's revolutionary breakthrough lies in the deep integration of natural language processing (NLP) technology with browser operations. The NLP engine used in Simular Browser has been trained on more than 1 million webpage instructions, and can accurately understand compound instructions such as "Log in to Gmail and send an email to Zhang San", and automatically break them down into 12 standard steps for execution. Compared with Selenium and other tools that require scripting, this feature enables even non-technical people to quickly realize: 1) automatic login and authentication, 2) multi-step navigation, and 3) data extraction and conversion and other complex processes.
In terms of technical implementation, the system adopts a three-layer parsing architecture: the semantic understanding layer recognizes the intent through the BERT model, the contextual association layer establishes the cross-page operation logic, and the execution verification layer ensures the reliability of the operation. In practical application, a cross-border e-commerce team uses natural language commands to realize automatic comparison of 30 platforms' product information per day, and the error rate is reduced by 72% compared with manual operation. this function is especially suitable for market analysis scenarios that require frequent adjustment of automated processes, and users can change the crawling strategy in real time by modifying text commands.
This answer comes from the articleSimular Browser: an AI browser that intelligently automates web operationsThe
