Webpage Supplement Retrieval for Low-Latency LLM Summaries
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Solution Overview
Problem
Current web browser implementations using large language models (LLMs) face latency issues due to computational intensity and network congestion, leading to unreliable and cumbersome content summarization features.
Innovation Solution
Implement a system where client computing devices manage webpage supplements by interfacing with a server to identify and retrieve LLM-based supplements using probabilistic data structures and private relays for secure communication, minimizing latency and privacy concerns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If web browsers access LLMs to provide content summarization features, then user productivity and information extraction are improved, but latency and processing time increase due to computational intensity
Solution Approach 1:
The system pre-processes and stores webpage content in a database before user requests. When a user accesses a webpage, the content is already prepared and can be quickly retrieved and processed by the LLM, eliminating the need for real-time processing of large text inputs and significantly reducing latency.
Solution Approach 2:
The patent segments the content processing workflow into distinct phases: webpage content is pre-extracted and stored separately from the LLM processing. The LLM receives pre-formatted, segmented content representations rather than raw webpage text, enabling faster processing while maintaining summarization quality.
2Measurement precision
If LLMs process lengthy webpage content to provide accurate summaries, then information extraction quality is improved, but network bandwidth consumption and processing power requirements increase
Solution Approach 1:
The system extracts and pre-processes only the essential content information from webpages and stores it in a compressed format. When a user requests summarization, the system transmits this pre-extracted content representation to the LLM rather than the full webpage text, reducing network bandwidth requirements while maintaining the accuracy needed for quality summaries.
Solution Approach 2:
Content preprocessing and compression are performed in advance during webpage loading, so that when summarization is needed, only the essential processed data needs to be transmitted to the LLM, significantly reducing the quantity of data sent over the network.
3Loss of time
If web browsers implement LLM-based summarization features, then user time savings are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces an intermediary content management system that sits between the web browser and the LLM. This intermediary handles the complex tasks of content extraction, formatting, and optimization, allowing the LLM to focus solely on generating summaries without dealing with the complexity of raw webpage processing.
Solution Approach 2:
The system automatically detects when a user visits a webpage and autonomously extracts, processes, and prepares content for potential summarization requests. This self-service content preparation eliminates the need for manual user input and reduces the operational complexity of using LLM-based summarization features.
Data Source
AI summary
The embodiments set forth techniques for managing webpage supplements for webpages.