Brave Search introduced a new ‘Summarizer’ tool to summarize search queries using several large language models (LLMs). All Brave Search users, whether on desktop and mobile, have access to the summary function. The enhanced Brave Search will highlight pertinent phrases in the results as news stories. Prior to this, it simply highlighted the search terms found in the page description.
The business clarified that the Summarizer function relies on its own LLMs rather than using the well-known GPT technology from OpenAI. The company claims that Brave Search uses a combination of three models, including a classifier to pick out hate speech and spam and a model that rewrites phrases to display results in a timely manner.
AI-Powered Search Summaries
Brave Search Introduced a New AI-Powered ‘Summarizer’ Feature
Trend Themes
1. AI-powered Summarizer - The use of AI-powered summarizer feature in search engines is presenting disruptions for online search and information retrieval systems.
2. Language Models - The adoption of large language models is promoting improvements in search engine intelligence and customization.
3. Spam Detection - The application of spam detection techniques using machine learning models is providing better security and safety in online search.
Industry Implications
1. Search Engines - The search engine industry can adopt AI-powered summarizer features and language models to enhance their search and information retrieval systems.
2. Cybersecurity - The cybersecurity industry can integrate spam detection techniques with machine learning models to safeguard online data and search queries.
3. Natural Language Processing - The natural language processing industry can develop innovative tools such as Brave Summarizer to improve semantic understanding and information extraction from textual data.