Firecrawl's new LLM.txt API allows users to generate an LLM.txt file for any website simply by providing the URL. This simplifies the process of extracting and utilizing website data for large language models.

In the era of driven artificial intelligence, the demand for high-quality data by large language models (LLMs) like GPT-3 and BERT is increasing. However, manually sorting this data from the web is not only time-consuming and labor-intensive but also often difficult to scale. This poses significant challenges for developers, especially when large amounts of data are required. Traditional web crawlers and data scraping tools have limited capabilities in extracting structured data; although they can collect webpage data, they often cannot format it in a style suitable for LLM processing.

At the 2024 WAIC Scientific Frontier Main Forum, the OpenDataLab team from the Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab) launched a new intelligent data extraction tool called MinerU. This tool aims to simplify the AI data processing workflow and assist AI researchers in extracting high-quality data from vast amounts of documents.

OpenAI has released guidelines for web crawlers, prompting websites to bolster their defenses. OpenAI's web crawler GPTBot may have been lurking on the internet for some time, raising concerns about its data collection practices. Website owners can disallow GPTBot's access via the robots.txt file, but not all crawlers adhere to these rules.